Economic Analyst Jobs in Egypt

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>&nbsp;We are an international, Sharia’a-compliant company with more than 35 years of presence in the market. <br>Since late 2018, International is fully owned by Al-Imtiaz Group which is a publicly listed company in Kuwait Stock Exchange. </p><br><p>We are an industry-leading solutions provider of digital infrastructure, digital innovations, computer-aided engineering, Autodesk training, BIM consultancy, applications modernization, audiovisual infrastructure, cybersecurity, cloud computing, outsourcing and managed services.</p><br><p>Today, International employs over 1,500 professionals with offices in Dubai (HQ), Kuwait, Abu Dhabi, Saudi Arabia, Qatar and Oman.</p><br><p><strong>Job Description</strong></p><br><p>We are looking for an experienced Senior Business Analyst to join our Digital Solutions delivery project teams. In this hands-on role, you will heavily participate in the full business analysis lifecycle (from discovery and requirements gathering through implementation support, demos, and UAT) on complex software projects (typically 1–3 years in duration) for enterprise and government clients across the GCC region, working within multi-disciplinary digital solutions delivery teams of 10–30 members (solution architects, UI/UX designers, technical writers, as well as development, data, and QC teams), which may include mixed internal and vendor teams.</p><br><p>This is a matrix delivery role: You will report to the Product Delivery Manager who owns the broader practice, standards, methodology, and people development, and within the projects you work under the direction of the Project BA Lead or the Project Delivery Lead (project technical lead) in alignment with the Project Manager for scope, planning, task assignment, and day-to-day delivery priorities. You may operate as the sole BA on smaller projects, owning the full BA scope end to end</p><br><p><strong>Roles &amp; Responsibilities</strong> </p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Requirements Elicitation, Analysis and Documentation:</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Carry the discovery phase: identify work scope and baseline, plan and facilitate requirements gathering sessions, workshops, stakeholder interviews, and site visits.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Produce high-quality deliverables per project methodology and client-defined deliverables: BRD and SRS documents (waterfall/hybrid) or BRD and backlog of user stories with acceptance criteria (agile/hybrid), gap analysis, cross-functional BPMN process flows, wireframes (in collaboration with UI/UX designers), integration mapping documents, and data dictionaries.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Clearly identify and flag out-of-scope items and align with the BA Lead, Project Delivery Lead, and Project Manager on technical feasibility and scope before finalizing documentation.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with technical writers on supporting artifacts (notification templates, document templates, etc.).</p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Solution Design, Estimation C Delivery Support:</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Work closely with solution architects, developers, data teams, and QC to ensure requirements are technically feasible and well understood.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Provide estimations and dependencies using work breakdown structures and story points (depending on methodology); whether as input to the BA Lead or independently when working solo.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in stand-ups, sprint planning, and backlog refinement sessions (agile/hybrid projects).</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support handover to data, development, and quality teams and remain available throughout implementation to clarify requirements and resolve issues.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Attend and/or lead demos and UAT sessions with the client.</p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Stakeholder C Communication Management:</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Build and maintain strong relationships with internal teams and external clients, including challenging stakeholders.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicate effectively in both Standard Arabic and English (spoken and written) and produce deliverables in both languages.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Navigate complex organizational dynamics and company/customer politics with professionalism and diplomacy, building consensus across internal teams and external clients.</p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Quality, Risk, Change C Dependency Management:</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure all BA deliverables meet quality standards, best practices, established processes, and project conventions, while applying sound judgment for justified exceptions.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proactively identify risks (including scope creep), dependencies, and issues; escalate to the BA Lead / Project Delivery Lead (and project managers when working solo) and provide the input required to facilitate the change management process.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain effective cross-team collaboration and dependency alignment across development, data, QC, and other delivery streams.</p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Vendor C Cross-Team Coordination:</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; When working with mixed or vendor teams, coordinate with vendor BAs/teams to ensure alignment in produced deliverables and adherence to company standards and best practices.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Review vendor BA deliverables, support knowledge transfer, and escalate issues when needed.</p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; AI Leverage, Mentorship C Continuous Improvement:</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proactively and responsibly use AI tools embedded across all work stages (requirements drafting, analysis, gap identification, documentation support, etc.) while ensuring accuracy, compliance, and adherence to client-specific restrictions (some projects prohibit AI usage).</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Mentor junior analysts and support the application of BA standards and best practices within the team.</p><br><p>o&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contribute practically to process improvements, frameworks, and knowledge sharing.</p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Pre-Sales C Proposal Support (secondary): Provide BA input to proposals, RFP responses, or early scoping activities as needed (not a primary focus of the role).</p><br> </div>

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing: <br>Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:<br>As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.<br>Key Qualifications:Arabic Proficiency: Ability to read and write in Arabic with a high degree of comp, as Arabic is the focus language for this project. Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team. Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality. Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections. Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers. Feedback: Ability to provide constructive feedback and detailed annotations. Communication: Excellent communication and collaboration skills. Independence: Self-motivated and able to work independently in a remote setting. Technical Setup: Desktop/Laptop set up with a good internet connection.<br>Description:In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied. Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating". Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable. Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.<br>Education & Experience:BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field). Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.<br>Offer Details:Commitments Required: at least 4 hours per day and minimum 30 hours per week with 4 hours of overlap with PST. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) Engagement type: Contractor Engagement Length: 3 months<br><br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Company Description:Million Logics is a trusted Oracle Partner and global leader in IT solutions, with operations in London, UK, and a development hub in Hyderabad, India. Specialising in innovative and scalable services, Million Logics empowers enterprises through data & AI, cloud solutions, IT consulting, and custom application development. With a team of 85+ AI/ML experts, we deliver tailored solutions that foster digital transformation and operational excellence. We are committed to client success. We blend world-class technical expertise with strategic insight to deliver results.<br><br>Role Overview As an AI Quality Analyst, you will evaluate a new personalisation feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and You Tube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigour. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalised responses, evaluating dimensions such as Grounding, Integration, and Helpfulness.<br>Offer Detail Duration of Contract: 12 months Pay: $1600 per month (net/take-home) Mode of work: Fully Remote Number of Positions:40Must have Arabic expertise Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field)<br>Key Qualifications Arabic Proficiency: Ability to read and write in the Arabic langugage with a high degree of competence, as Arabic is the focus language for this project Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessmentent. Schedule Flexibility: Full-time availability in your local time zone is required. We are staffing a global, 24-hour operation Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalisation quality Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities Strong Evaluation Acumen: Understanding of personalisation concepts, including the ability to identify incorrect personalisation, poor inferences, and forced connections Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and over-narrating. Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers Feedback: Ability to provide constructive feedback and detailed annotations Communication: Excellent communication and collaboration skills Independence: Self-motivated and able to work independently in a remote setting Technical Setup: Desktop/Laptop set up with a good internet connection<br>Descrip In this role, you will be part of a dynamic team focused on evaluating the quality of personalised AI interactions. Your day-to-day work will involve Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilise your personal information and experience Evaluating model responses based on your intent from the starting prompt, checking if the personalisation was appropriately applied Analysing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "over-narration "Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilised Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history<br>Education & Exper BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field) Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred<br>Additional DCommitments Required: at least 4 hours per day and up to 40 hours per week, with 4 hours of overlap with PST. Engagement type:Contractor engagement Length: 12<br>months

Job Summary We are looking for a Business Analyst to join our team and support the delivery of digital transformation and technology initiatives. The role will act as a bridge between business stakeholders, technical teams, and delivery teams, ensuring that business needs are clearly understood, documented, prioritized, and translated into actionable functional requirements. The Business Analyst will be responsible for gathering and analyzing business requirements, defining user stories and acceptance criteria, supporting backlog management, clarifying functional requirements, and coordinating with stakeholders throughout the delivery lifecycle. The ideal candidate should have strong analytical and communication skills, a customer-focused mindset, and practical experience working with digital platforms and modern Microsoft technologies, including Power Apps, Power Automate, Copilot Studio, Power BI, and Dynamics 365. Exposure to Sitecore, APIs, mobile/web applications, and AI chatbot solutions is highly desirable.<br><br>Key Responsibilities1. Business & Requirements Analysis Engage with business stakeholders to understand business needs, challenges, objectives, and expected outcomes. Conduct requirements-gathering sessions, workshops, interviews, and discussions with business and technical stakeholders. Analyze business processes and identify gaps, improvement opportunities, dependencies, and potential risks. Translate business needs into clear and structured functional requirements. Capture and document business requirements, functional requirements, user stories, acceptance criteria, and process flows. Ensure requirements are complete, consistent, feasible, and aligned with the agreed business objectives. Identify and clarify ambiguities, assumptions, dependencies, and potential conflicts in requirements. Support stakeholders in defining clear and measurable expected business outcomes.2. User Stories & Acceptance Criteria Create detailed and actionable user stories based on business requirements. Define clear acceptance criteria to ensure requirements are understood by both business and technical teams. Break down high-level requirements into manageable features, epics, and user stories where required. Work closely with Product Owners, developers, solution architects, QA teams, and other delivery stakeholders to validate requirements. Ensure user stories are ready for development and provide sufficient functional detail for delivery teams. Support refinement sessions and respond to functional questions throughout development.3. Stakeholder Management Act as the key communication link between business stakeholders and technical/delivery teams. Work with stakeholders to validate scope, priorities, requirements, and expected outcomes. Facilitate discussions between different stakeholders when requirements or priorities conflict. Manage expectations by clearly communicating requirements, dependencies, risks, and potential impacts. Demonstrate strong stakeholder empathy by understanding different business perspectives and translating them into practical solutions. Build effective working relationships with business users, project managers, product owners, developers, QA teams, and other project stakeholders.4. Backlog & Delivery Support Support Product Owners and delivery teams in maintaining and prioritizing the product/project backlog. Participate in backlog grooming and refinement sessions. Help ensure that backlog items are clearly defined, prioritized, and aligned with business objectives. Support sprint planning, reviews, demonstrations, and other Agile ceremonies where applicable. Track functional clarifications and ensure open questions are resolved in a timely manner. Identify dependencies between requirements, teams, systems, and releases. Support delivery teams throughout the implementation lifecycle by providing functional clarification when required.5. UAT & Quality Support Coordinate with business users and testing teams during User Acceptance Testing (UAT). Support the preparation and review of UAT scenarios and test cases. Ensure UAT scenarios are aligned with approved business requirements and acceptance criteria. Support business users in understanding expected system behavior. Analyze UAT findings and coordinate with technical teams to clarify and resolve functional issues. Validate delivered functionality against agreed requirements and acceptance criteria. Support defect triage and help determine whether reported issues are functional gaps, defects, or change requests.6. Digital & Technology Solutions Work on requirements related to digital platforms, customer-facing applications, and enterprise technology solutions. Support initiatives involving Microsoft Power Platform, including Power Apps and Power Automate. Support business requirements for Microsoft Copilot Studio and AI-powered chatbot capabilities. Work with teams delivering solutions using Dynamics 365 Sales and Dynamics 365 Customer Service. Understand and document requirements related to Dynamics 365 Customer Insights and customer experience solutions. Work with teams supporting mobile and web applications and ensure functional requirements address usability and customer experience. Collaborate with technical teams on requirements involving APIs and system integrations. Work with reporting and analytics teams on business requirements related to Power BI. Have an understanding of Sitecore and digital experience/content management platforms. Translate business requirements into functional specifications while maintaining a clear understanding of the technical context.7. Documentation & Process Management Maintain accurate and up-to-date business and functional documentation. Document business processes, functional flows, requirements, decisions, assumptions, and dependencies. Maintain requirement traceability from business needs through development, testing, and final delivery. Ensure documentation is stored and maintained using agreed tools and standards. Use Jira and Confluence effectively for requirements, backlog, documentation, and delivery tracking. Ensure key decisions and functional clarifications are properly documented and communicated to relevant stakeholders.<br>Requirements Bachelor’s degree in Computer Science, Information Technology, Business Information Systems, Engineering, Business Administration, or a related discipline.3+ years of experience in Business Analysis, Functional Analysis, Product Analysis, or a similar role. Proven experience gathering, analyzing, and documenting business and functional requirements. Strong experience writing user stories and acceptance criteria. Experience working closely with business stakeholders and technical/delivery teams. Experience supporting UAT and functional validation. Experience working in Agile/Scrum environments. Practical experience with Jira and Confluence. Good understanding of digital applications, web/mobile solutions, and customer-facing platforms. Working knowledge of Microsoft Power Platform, particularly Power Apps and Power Automate. Familiarity with Microsoft Copilot Studio and AI chatbot capabilities. Good understanding of Dynamics 365 Sales and/or Customer Service. Working knowledge of Power BI, APIs, integrations, and data flows. Knowledge or exposure to Sitecore and digital experience platforms is preferred. Strong ability to understand complex business requirements and translate them into clear functional requirements. Excellent written and verbal communication skills. Strong stakeholder management and collaboration skills. Ability to work effectively in a fast-paced, multi-stakeholder environment.<br>Skills & Qualifications Business Analysis Skills Requirements elicitation and analysis Business process analysis Functional requirements documentation User story creation Acceptance criteria definition Gap analysis Backlog management and refinement UAT coordination Functional clarification Requirement traceability Process mapping and documentation Soft Skills Excellent communication and presentation skills Strong analytical and problem-solving abilities Attention to detail Strong stakeholder management Customer and stakeholder empathy Prioritization and time management Ability to simplify complex requirements Strong collaboration and teamwork Proactive approach to identifying issues and dependencies Ability to manage multiple priorities Strong decision-making and critical-thinking skills<br>Preferred Qualifications The following would be considered an advantage:Experience working on large-scale digital transformation projects. Experience with government, public-sector, telecom, banking, or other complex enterprise environments. Experience working with Microsoft Dynamics 365 ecosystems. Experience with Power Platform and low-code/no-code solutions. Experience working on AI, chatbot, or Copilot-based solutions. Experience with customer experience and CRM platforms. Experience working with APIs and enterprise system integrations. Agile/Scrum certification or relevant Business Analysis certification such as IIBA/CBAP, PMI-PBA, or equivalent. Experience working with distributed or cross-functional delivery teams.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Join Us</b> <br></span><p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p><br><br><br><b>What you’ll do</b> <br><p><strong>Role purpose</strong>:</p><br> <p>The NMS Analyst supports the planning and operations of the Wireless (Radio and Core) Network Management Systems within Vodafone Egypt's network. The primary objective of this role is to monitor, support, upgrade, and contribute to the planning of these systems, while facilitating internal customers' tasks by making effective use of system capabilities. The role handles operational cases with vendors and works alongside senior engineers to ensure NMS availability, security, and performance, contributing to service quality and operational excellence across the network.</p><br><br><br><b>Who you are</b> <br><p><strong>Key accountabilities and decision ownership </strong></p><br> <ul> <li>Support the planning, development, design, and daily operations of Network Management Systems and Automation systems, including the application of security patches and system upgrades in line with defined roadmaps.</li> <li>Implement required system changes following agreed processes and procedures, ensuring minimal impact on internal customers, and escalate issues to vendors according to contractual SLAs.</li> <li>Ensure NMS nodes and platforms remain secured and regularly patched in compliance with Vodafone security policy and internal customer service requirements.</li> <li>Apply and maintain user access control policies and procedures across all Network Management System nodes and solutions.</li> <li>Develop and maintain scripts and tools to address business requirements, automate routine operational tasks, and improve NMS efficiency</li> </ul> <p><strong>Key performance indicators:</strong></p><br> <ul> <li>Compliance of NMS systems and nodes with the latest recommended security patches within defined timeframes.</li> <li>Timely escalation and resolution of reported incidents in line with agreed SLAs.</li> <li>Adherence to user access control processes and contribution to systems standardization and unification initiatives.</li> </ul><br><br><b>Not a perfect fit?</b> <br><p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p><br><br><br><b>What's in it for you</b> <br><p><strong>Core competencies, knowledge and experience</strong></p><br> <ul> <li><strong>Network Management Systems</strong> – Working knowledge of Wireless (Radio and Core) NMS platforms, including monitoring, fault management, performance management, and configuration management functions.</li> <li><strong>Operating Systems &amp; Scripting</strong> – Hands-on experience with Unix/Linux administration and scripting (Bash, Python, or similar) to automate routine operational tasks and support NMS operations.</li> <li><strong>Database &amp; SQL</strong> – Practical exposure to relational databases and SQL for querying, basic troubleshooting, and supporting NMS reporting and data extraction needs.</li> <li><strong>Security &amp; Patch Management</strong> – Awareness of security patching practices, user access control principles, and compliance requirements applicable to network management platforms.</li> <li><strong>Communication &amp; Teamwork</strong> – Effective interpersonal and communication skills, time management, customer focus, logical thinking, and the ability to take responsibility within a collaborative team environment.</li> </ul> <p><strong>Must have technical/ professional qualifications</strong>:</p><br> <ul> <li>Bachelor’s degree in engineering, Computer Science, or a related technical discipline.</li> <li>Minimum 2 years of experience in Technology, preferably in Network Management Systems or telecom operations.</li> <li>Working knowledge of Unix/Linux administration and scripting.</li> <li>Practical exposure to Database concepts and SQL.</li> <li>Awareness of telecom network elements (Radio and/or Core) and ITIL processes is preferred</li> </ul><br><br><b>Who we are</b> <br><p>We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><br> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><br> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><br> <p>Together we can.</p><br><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Overview The HR Operations Talent Acqusition Sourcing Analyst is responsible for providing best-in-class sourcing &amp; screening services to PepsiCo clients as well as external candidates. As a key member of our Global Business Services team, you will take the lead in building and developing talent pipelines within a specific area of business, function or geography. You will have experience working with passive candidates in a highly competitive space and the ability to cultivate long-term relationships with these candidate pools. Working across our functions, the role requires you to be agile in support of varying prioritized areas as new initiatives develop. You will act as a sourcing subject matter expert and deliver market insights back to the PepsiCo Talent Acquisition (TA) team and business partners to drive educated sourcing strategy decisions. PepsiCo has a highly recognized reputation for recruiting and developing top talent across the globe and would be responsible for carrying on this proud legacy by delivering high quality professional candidates to our TA function and clients.</p><p>Responsibilities You will partner with TA Partners and Leads to develop and execute talent sourcing strategies that yield consistent and strong results. Research and target new talent sourcing channels, constantly working to uncover new hidden talent pools. Craft comprehensive search assignments, ensuring a sound understanding of the job responsibilities, requirements and talent gaps. Develop a thorough knowledge of PepsiCo s business and culture in order to help candidates fully comprehend and embrace the career opportunity. Deliver the highest quality candidate experience by providing candidates with an accurate and compelling story as to why PepsiCo is a leading Employer of Choice . Own the entire sourcing and screening process of active and passive talent utilizing a variety of channels and using diverse sourcing tools and techniques to identify talent, review resumes and validate prospects interest; and present qualified applicants to the hiring team. Following screening efforts (paper or verbal), submit shortlistes of candidates for interviews, and understand post-interview decisions to inform ongoing sourcing efforts. Provide interview team members with appropriate context / notes to effectively interview and assess. Ensure proactive, transparent &amp; timely communication, regardless of the hiring outcome. Maintain accurate documentation on all candidates, searches, TA/hiring manager interactions, and other recruiting activities. Generate long-term talent pipeline for specific roles. Provide staffing support to hiring teams with a goal of filling open roles with qualified talent efficiently while achieving target metrics such as Time to Accept (TTA), Time-to-Find/Hire, Hiring Manager Satisfaction scores (HMSS) and system accuracy. Foster partnerships that yield consistent ongoing communication, high-quality results, and efficient processes in order to build TA function credibility. Participate in departmental project work focused on delivering efficiencies and innovations to drive our Operations team forward.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Social media recruitment experience preferred (i.e. LinkedIn) Applicant Tracking System or CRM experience, Kenexa is a plus Expertise using a variety of sourcing tools &amp; techniques including but not limited to Boolean search, aggregators, automation tools, LinkedIn recruiter, scrapers etc Proficiency and passion for sourcing 'beneath the surface' Must be resilient and highly resistant to stress and frustration Must be able to work under tight deadlines and within an ambiguous environment Creative and Resourceful who s able to find ways to deliver on time and quality with limited or no budget Proven experience running in depth talent market research: The ideal candidate will have proven experience build comprehensive and detailed short lists of talent. Finding some people is not enough. In this role the incumbent should be able to identify every suitable candidate for a given role Demonstrated success in filling high hiring-bar requisitions where only the most exceptional talent succeed Possess industry knowledge with a general comprehension of relevant FMCG skills, target companies etc Strong organizational skills and the ability to prioritize competing tasks in a fast-paced environment Good communicator with the ability to influence effectively</p><p></p></section>

About Atos Atos is a global leader in digital transformation with 107,000 employees and annual revenue of over € 11 billion. European number one in cybersecurity, cloud, and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societies Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education, and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Role Overview We are seeking an experienced L1/L2 Support Analyst with a minimum of 6 years of experience in application and technical support. The role will be responsible for advanced troubleshooting, complex incident resolution, root-cause analysis, problem management, escalation handling, and maintaining platform stability across a diverse modern technology landscape. The ideal candidate will demonstrate strong analytical and troubleshooting skills, take ownership of critical service issues, communicate effectively with stakeholders, and contribute to knowledge transfer and mentoring within the support team. Key Responsibilities Provide advanced L1/L2 technical and application support for business-critical platforms and services. Perform advanced troubleshooting, incident investigation, and root-cause analysis (RCA) for complex technical issues. Diagnose and resolve incidents across application, integration, API, cloud, and data/AI services. Manage and resolve complex incidents, ensuring timely restoration of services and minimizing business impact. Participate in problem management, identifying recurring issues and implementing permanent corrective actions. Handle technical escalations from L1 teams and coordinate with L3, engineering, development, infrastructure, and vendor teams when required. Support platform stability, availability, performance, and operational reliability. Monitor and investigate service degradation, failures, integration issues, and application errors. Provide technical support across:Sitecore Next.js / Vercel React Native Microsoft Dynamics 365REST/API integrations and services Microsoft Azure cloud services Azure data and AI services Analyze application logs, API responses, system behavior, and monitoring information to identify the source of incidents. Document troubleshooting procedures, known errors, resolutions, and technical solutions in the knowledge base. Conduct knowledge transfer sessions and mentor junior support analysts. Maintain clear and timely communication with technical and business stakeholders during critical incidents. Demonstrate calm and structured escalation management during high-severity or business-critical issues. Identify opportunities to improve support processes, operational procedures, automation, and service reliability. Ensure incidents and problems are properly documented, tracked, and closed in accordance with agreed support processes and SLAs. Required Skills & Experience6+ years of experience in application support, technical support, production support, or a similar IT operations role. Strong experience in L1/L2 support with advanced troubleshooting responsibilities. Proven experience in incident management, problem management, escalation management, and RCA. Hands-on troubleshooting experience across one or more of the following:Sitecore Next.js / Vercel React Native Dynamics 365APIs and integrations Azure cloud services Azure data and AI services Strong understanding of application architecture, integrations, APIs, cloud environments, and production support practices. Ability to analyze logs, identify patterns, isolate issues, and determine root causes. Experience supporting business-critical applications and high-priority incidents. Strong ownership mindset with the ability to drive incidents through to resolution. Excellent analytical and problem-solving skills. Strong verbal and written communication skills with the ability to communicate technical issues clearly to both technical and non-technical stakeholders. Ability to work effectively under pressure during critical incidents. Experience mentoring team members and contributing to knowledge-sharing initiatives. Key Competencies Advanced analytical and troubleshooting skills Root-cause analysis and structured problem solving Incident and problem management Calm and effective escalation management Strong ownership and accountability Platform stability and service reliability mindset Stakeholder management and communication Knowledge sharing and mentoring Ability to work collaboratively across technical teams Preferred Experience working in an ITIL-based support environment. Experience with ITSM tools and incident/problem management processes. Exposure to application monitoring, observability, and cloud monitoring tools. Experience working with distributed application and integration environments. Relevant Azure, Dynamics 365, Sitecore, or ITIL certifications are advantageous.<br>Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Overview People Experience &amp; Operations Asst Analyst is the on-site HR SPOC for employees. Typically, responsible for managing the day-to-day operations, acting as a first-tier support for all HR related matters on site. Starting from onboarding coordination and throughout the employment duration. The role is the one face to governmental bodies inspectors and hence is accountable to keep and maintain complete/accurate and up to date documents on-site. Being part of the Global People Experience &amp; Operations Team, this role is expected to provide consistent and standard services and achieve high level of customer satisfaction through systems training, process orientation and SLA adherence as measured by global reporting tools. The role is also expected to activate launches and change management tactics of new digital tools and solutions (ex: iCIMS - myServices) Responsibilities Onboarding &amp; New Hire Integration. Manage hiring documentation, including physical receipt and collection of required wet signatures. Coordinate end-to-end onboarding experience, including site walkthroughs and facilitation of business tools/assets handover from relevant departments. Follow up with Hiring Managers to ensure completion of onboarding tasks. Train new hires on PEP tools and systems to enable smooth integration. Learning &amp; Development Support the learning agenda by: Managing logistics for training sessions (venue booking, meeting room readiness, catering). Delivering, tracking, and following up on compliance, ethics, and TM-related face-to-face training sessions. Monitoring participation and completion rates. Systems, Tools &amp; Digital Adoption Drive effective utilization of HR systems and tools by: Training employees on platforms such as MyServices, iCIMS, MS Teams, Smiles, etc. Identifying root causes of low adoption and partnering with stakeholders to improve usage. Maintaining on-site digital hubs/kiosks and ensuring operational readiness. Compliance, Employee Relations &amp; Governance Ensure compliance with internal policies and local regulations by: Maintaining legally required documentation and up-to-date health certificates. Running periodic audits aligned with government and legal requirements. Supporting site government inspections, handling queries, and reporting outcomes to the legal team. Communicating ER, Compliance &amp; Ethics, and Legal outcomes from internal investigations to employees (L5-) and ensuring proper acknowledgment (wet signatures and system capture). Employee Experience Support (TM Coordination) Support communication cascade through available channels and encourage participation. Offboarding &amp; Employee Exit Management Ensure smooth employee exit processes by tracking and following up on clearance activities through myServices and other relevant systems. Coordinate with stakeholders to ensure timely completion of exit requirements and approvals. Maintain proper documentation and employee acknowledgments in line with compliance and legal requirements. Qualifications 1 – 3 years of experience, preferably with HR Operations experience. Customer orientation. Technical / Functional Skills &amp; Knowledge of HR Tools and Interfaces. Experience or understating of HR Operations/Shared Services environment. Change management and agility. Must possess strong influencing skills. Demonstrated track record of strong service delivery.</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><p>Job Title:</p><br><br>Talent Management BI Analyst<br><p>Job Description</p><br><br>About the Role<br>You will play a key role in shaping how we hire, develop, and retain B2B sales talent through data. You’ll turn complex datasets into clear insights that influence hiring profiles, onboarding strategies, and overall talent performance.<br>This role sits at the intersection of talent, data, and business strategy. You’ll partner closely with Talent Acquisition, Data Engineering, and business leaders to ensure decisions are grounded in real performance outcomes.<span><b>What You’ll Do</b></span><p><span><b>Lead Performance Studies (50%)</b></span></p><br><br><ul><li>You will gather and connect datasets across performance, candidate profiles, training outcomes, and attrition</li><li>You will clean, validate, and structure data for analysis</li><li>You will run statistical analyses (correlation, regression, ANOVA, exploratory analysis)</li><li>You will translate findings into clear insights tied to performance, ramp, and retention</li><li>You will deliver structured reports with actionable recommendations within a 5–7 week timeline</li></ul><p><span><b>Build Talent Dashboards (15%)</b></span></p><br><br><ul><li>You will build and maintain B2B Sales Talent dashboards (Domo preferred)</li><li>You will translate complex data into simple, actionable visual insights</li><li>You will partner with Data Engineering and TA teams to ensure data access and alignment on metrics</li><li>You will continuously improve reporting to reflect evolving business needs</li></ul><p><span><b>Future-Ready Talent Reporting &amp; Ad Hoc Analysis (35%)</b></span></p><br><br><ul><li>You will deliver fast-turnaround analyses across headcount, attrition, hiring lead times, training, certifications, and workforce trends</li><li>You will support QBRs and executive reporting with accurate, clear, and actionable data</li><li>You will manage and prioritize incoming reporting requests to ensure timely delivery</li><li>You will compile and analyze client footprint, historical attrition, and regional workforce trends</li><li>You will build executive-ready reports with clear takeaways and recommendations</li><li>You will maintain strong data accuracy, documentation, and governance standards</li></ul><span><b>What You Bring</b></span><p><span><b>Technical Skills</b></span></p><br><br><ul><li>You have strong data analysis skills (Excel required; SQL preferred; Python or R a plus)</li><li>You have experience with BI tools (Domo, Tableau, or Power BI)</li><li>You understand statistical methods (correlation, regression, hypothesis testing, ANOVA)</li><li>You are comfortable working with large, complex datasets</li></ul><p><span><b>Business &amp; Communication Skills</b></span></p><br><br><ul><li>You can translate data into clear, actionable insights</li><li>You communicate effectively with both technical and non-technical stakeholders</li><li>You are comfortable supporting executive-level reporting</li><li>You have strong attention to detail and care about data accuracy</li></ul><p><span><b>Experience</b></span></p><br><br><ul><li>You have experience in Talent Analytics, Workforce Analytics, or a similar field</li><li>You understand performance-driven environments (B2B sales experience is a plus)</li><li>You are familiar with hiring, onboarding, and attrition metrics</li></ul><span><b>How You’ll Be Measured</b></span><ul><li>You deliver high-quality insights that influence hiring and talent strategy</li><li>You consistently meet timelines for reporting and analysis</li><li>Your dashboards are adopted and used by stakeholders</li><li>Your work drives measurable improvements in performance, ramp, and retention</li></ul><br><p>Location:</p><br><br>GMT+02:00 Eastern European Standard Time (Cairo)<br><p>Language Requirements:</p><br><br>English (Required)<br><p>Time Type:</p><br><br>Full time<br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Overview The HR Operations Talent Acquisition Sourcing Analyst is responsible for providing best-in-class sourcing &amp; screening services to PepsiCo clients as well as external candidates. As a key member of our Global Business Services team, you will take the lead in building and developing talent pipelines within a specific area of business, function or geography. You will have experience working with passive candidates in a highly competitive space and the ability to cultivate long-term relationships with these candidate pools. Working across our functions, the role requires you to be agile in support of varying prioritized areas as new initiatives develop. You will act as a sourcing subject matter expert and deliver market insights back to the PepsiCo Talent Acquisition (TA) team and business partners to drive educated sourcing strategy decisions. PepsiCo has a highly recognized reputation for recruiting and developing top talent across the globe and would be responsible for carrying on this proud legacy by delivering high-quality professional candidates to our TA function and clients.</p><p>Responsibilities You will partner with TA Partners and Leads to develop and execute talent sourcing strategies that yield consistent and strong results. Research and target new talent sourcing channels, constantly working to uncover new hidden talent pools. Craft comprehensive search assignments, ensuring a sound understanding of the job responsibilities, requirements and talent gaps. Develop a thorough knowledge of PepsiCo s business and culture in order to help candidates fully comprehend and embrace the career opportunity. Deliver the highest quality candidate experience by providing candidates with an accurate and compelling story as to why PepsiCo is a leading Employer of Choice . Own the entire sourcing and screening process of active and passive talent utilizing a variety of channels and using diverse sourcing tools and techniques to identify talent, review resumes and validate prospects interest; and present qualified applicants to the hiring team. Following screening efforts (paper or verbal), submit shortlistes of candidates for interviews, and understand post-interview decisions to inform ongoing sourcing efforts. Provide interview team members with appropriate context / notes to effectively interview and assess. Ensure proactive, transparent &amp; timely communication, regardless of the hiring outcome. Maintain accurate documentation on all candidates, searches, TA/hiring manager interactions, and other recruiting activities. Generate long-term talent pipeline for specific roles. Provide staffing support to hiring teams with a goal of filling open roles with qualified talent efficiently while achieving target metrics such as Time to Accept (TTA), Time-to-Find/Hire, Hiring Manager Satisfaction scores (HMSS) and system accuracy. Foster partnerships that yield consistent ongoing communication, high-quality results, and efficient processes in order to build TA function credibility. Participate in departmental project work focused on delivering efficiencies and innovations to drive our Operations team forward.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Social media recruitment experience preferred (i.e. LinkedIn) Applicant Tracking System or CRM experience, Kenexa is a plus Expertise using a variety of sourcing tools &amp; techniques including but not limited to Boolean search, aggregators, automation tools, LinkedIn recruiter, scrapers etc Proficiency and passion for sourcing 'beneath the surface' Must be resilient and highly resistant to stress and frustration Must be able to work under tight deadlines and within an ambiguous environment Creative and Resourceful who s able to find ways to deliver on time and quality with limited or no budget Proven experience running in depth talent market research: The ideal candidate will have proven experience build comprehensive and detailed short lists of talent. Finding some people is not enough. In this role the incumbent should be able to identify every suitable candidate for a given role Demonstrated success in filling high hiring-bar requisitions where only the most exceptional talent succeed Possess industry knowledge with a general comprehension of relevant FMCG skills, target companies etc Strong organizational skills and the ability to prioritize competing tasks in a fast-paced environment Good communicator with the ability to influence effectively</p><p></p></section>

About Lucidya<br><br>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br><br>Our platform brings together products including Social Listening, Omni Serve, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br><br>As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly. The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br><br>Why this role matters<br><br>We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br><br>This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br><br>You'll operate at two levels.<br><br>At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br><br>At the leadership level, you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br><br>The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br><br>What You'll Do<br><br> Turn product data into decisions. You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result. Help teams define what success actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched. Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck. Evaluate whether our products are delivering value. You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives. Bring insights into product discovery. You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist. Challenge assumptions with evidence. When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, "What does the data actually tell us?" — constructively and without creating friction. Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter. Support experimentation. You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us. Make complex analysis easy to understand. You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences. Give leadership a clear view of product performance. You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers. Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question. Raise data literacy across Product. You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works. Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority<br><br>What Success Looks Like<br><br>In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br><br>As you establish yourself, you'll start changing how decisions are made. Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br><br>Ultimately, success means Product becomes more intelligent. Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br><br>The shift we're looking for is simple:<br><br>From "What happened?" → "Why did it happen?" → "What should we do about it?"<br><br>Requirements<br><br>Who You Are<br><br> You're naturally curious. When you see an unexpected number, you don't just add it to a report — you want to know what's behind it. You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions. You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it. You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy. You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness. You know that being right isn't enough. Your analysis only creates value if people understand it and act on it. You can turn complex findings into a simple story and a clear recommendation. You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership. You're proactive and self-directed. You don't wait for a ticket to appear in your queue. You notice something worth investigating and take ownership of finding out what it means. You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or obvious answer. You know how to work with imperfect information while being transparent about its limitations. You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams. You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools. You understand product metrics deeply, including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour. You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means. You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room. You have professional working proficiency in English. <br><br>Nice to Have<br><br> Experience designing or evaluating A/B tests and experiments. Experience with statistical analysis. Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance. Experience building or improving a product analytics function or data culture. Experience presenting product recommendations to senior leadership. Working knowledge of Python or R. Experience working with B2B Saa S, enterprise products, AI products, or complex data-driven platforms. <br><br>What the hiring process will look like<br><br> Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next. Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems. Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend. Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study. Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><b>Our Purpose</b></span></p><br><br><br><p><i>Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a&nbsp;sustainable&nbsp;economy where everyone can prosper. We support a wide range of digital payments choices, making transactions&nbsp;secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><br><br><br><p><b>Title and Summary</b></p><br><br><br>Senior Customer Technical Services Analyst<br>Who is Mastercard?<br>Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.<br>Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.<br>Overview<br>The Global Customer Care team is looking for Senior Customer Technical Services Analyst to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.<br>Global Customer Care acts as a single point of contact for our external customers and internal business partners. GCC completes analysis of wide variety of customers’ business and technical inquiries, providing end-to-end ownership. GCC is in essence ‘The face of MasterCard’ to ensure our customers receive world class support.<br>Purpose of job<br>•Provide operational and technical support for customers analyzing a wide variety of issues, determine needed actions, and follow through to resolution<br>•Interact with customers to provide information in response to inquiries about products or services and handle and resolve customer issues via telephone and electronic communications (e-mail)<br>Specifics<br>Regional Global Customer Care responsibilities:<br>Regional Customer Support; Basic to Intermediate understanding of Core Products<br>•The position will be part of a global team providing fantastic Customer Support<br>• Are you looking for a chance to start something from scratch?<br>•Have you always been a leader of change and part of the solution?<br>• Do you enjoy creating your own future and choosing the direction it takes?<br>Role <br>• Provide world class support leveraging our Shared Service support model while integrating new procedures across a regional and global network<br>• Communicate frequently and clearly with different products and understand future enhancements<br>• Create documentation materials to be leveraged in a re-useable scalable way so that the product line can be supported on a global level with minimal effort <br>• Serve as focal point for customer issues, concerns and requests for enhancements. <br>• Capture detailed and accurate information about issues, concerns and enhancements. <br>• Work with global customers to complete service inquiries about MasterCard core applications and products. <br>• Collaborate with others in support of products, processes and problem resolution. <br>• Demonstrate the ability to negotiate, resolve and present to internal/external customers. <br>• Lead and/or participate in customer visits for training, education and operational support. <br>• Potential customer visits for training, education and operational support. <br>• Simulate or recreate user issues to resolve operating difficulties. <br>• Recommend and implement business or process improvements, while recognizing global perspectives. <br>• Demonstrate leadership qualities, displaying mentoring ability, project leadership and delegation on an as-needed basis, follow-through, team participation and self-management.<br>All About You<br>Knowledge / Experience: <br>• Technical/operations experience within financial/payments industry <br>• Previous customer service experience required. <br>• Experience in Card domain/operations<br>• Must have a good understanding of Core Products (Credit/Pre-paid/Debit)<br>• Must be familiar with Card Payment Industries (Issuer &amp; Acquirer)<br>• You should be able to display superior Customer Service<br>• Should be able to handle various geographical customer challenges (EEMEA)<br>Skills/ Abilities: <br>• Excellent interpersonal skills and written and verbal communication skills. <br>• Technical and operational skills (PL/SQL, Unix, MS Office, etc) <br>• Advanced analytical, problem resolution and project management skills, including negotiation and conflict resolution. <br>• Ability to adapt to a personal work style to accommodate an ever changing, diverse and global environment and to organize and prioritize multiple tasks simultaneously based on current business needs<br><br><p><b>Corporate Security Responsibility</b></p><br><br><p><br>All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><br><br><ul><li><p>Abide by Mastercard’s security policies and practices;</p><br><br></li><li><p>Ensure the confidentiality and integrity of the information being accessed;</p><br><br></li><li><p>Report any suspected information security violation or breach, and</p><br><br></li><li><p>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</p><br><br></li></ul><br><br><br><br><br> </div>