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Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about: As a Senior Data Scientist at Teradata, you will lead data science projects, develop predictive models, and provide actionable insights to support strategic business initiatives. You will leverage your expertise in data analysis, machine learning, and statistical modeling to drive impactful solutions. What impact this role has: Your work will directly influence business decisions, optimize operations, and drive innovation. By uncovering trends and patterns in data, you will help Teradata stay ahead in the competitive landscape and deliver exceptional value to our clients. What success might look like: Success in this role means delivering high-quality data science solutions that meet business needs, mentoring junior team members, and continuously improving our data science practices. You will be recognized for your ability to translate complex data into actionable insights and for driving measurable business outcomes. <br><br>Who You’ll Work With<br><br>An outline of the team: You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, and business stakeholders both internally and externally. The team is dedicated to leveraging data to solve complex problems and drive business growth. The role and the team play at Teradata: The data science team at Teradata plays a crucial role in transforming data into strategic assets. Your contributions will help shape the direction of our data initiatives and ensure we deliver cutting-edge solutions to our clients. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 5 years of experience in data science or analytics. Proficiency in programming languages such as Python and SQL. Strong understanding of statistical methods and machine learning techniques. Proficiency in advanced deep learning algorithms and Gen AI Excellent communication and presentation skills. <br><br>What You’ll Bring<br><br>Data Analysis and Modeling: Perform complex data analysis and build predictive models using advanced statistical and machine learning techniques. Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and alignment with business goals. Collaboration: Work closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to understand requirements and deliver data-driven solutions. Data Exploration: Explore large datasets to identify trends, patterns, and opportunities for business improvement. Model Deployment: Implement and maintain machine learning models in production environments, ensuring scalability and performance. Mentorship: Mentor junior data scientists and provide guidance on best practices and methodologies. Communication: Present findings and insights to both technical and non-technical audiences, translating complex data into actionable recommendations. Continuous Improvement: Stay up to date with the latest advancements in data science and machine learning and apply new techniques to improve existing processes. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Role: Data Analyst (Remote) Location: Remote (Work from Anywhere)<br>Role Overview:We are hiring for one of our clients, seeking a Subject Matter Expert – Data & Statistical Chart Analysis (AI Benchmark) to work on a Full-Time basis. The role involves evaluating and interpreting statistical data and visual representations to assess AI performance benchmarks across diverse models and datasets. You will analyze trends, anomalies, and correlations to ensure accuracy and reliability in benchmarking results.<br>Key Responsibilities:• Evaluate and interpret statistical data and visual representations to assess AI performance benchmarks• Analyze trends, anomalies, and correlations in AI benchmarking datasets• Validate data integrity and consistency across benchmarking reports• Collaborate with cross-functional teams to refine benchmarking methodologies• Document findings and present insights to stakeholders<br>Required Skills & Qualifications:• Experience in data analysis with a focus on statistical methodologies• Proficiency in interpreting complex charts, graphs, and statistical reports• Familiarity with AI model performance metrics and benchmarking frameworks• Strong analytical and problem-solving skills• Ability to communicate technical findings to non-technical audiences<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI benchmarking standards. The position requires meticulous attention to detail and a commitment to maintaining high standards in data analysis.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

About us:<br>Elsewedy Electric: Powering Progress, Empowering People<br>For over 80 years, Elsewedy Electric has been a leading manufacturer of electrical products and solutions, operating in 19 countries with over 18,000 employees. We offer a diverse range of products across wire & cable, electrical equipment, engineering & construction, digital solutions, and infrastructure investments. Beyond our manufacturing prowess, we're passionate about creating a positive and empowering work environment for our team. We foster a culture of diversity, inclusion, and continuous learning, providing opportunities for professional development and career growth. Our commitment to employee well-being extends beyond compensation with initiatives promoting work-life balance and overall well-being. Join us and be part of a company that's not just powering progress, but empowering people to build a brighter future.<br>This job opportunity is offered by Elsewedy Electric Graduate Development Program The program is designed for Graduates with 0-2 years of experience. The program offers various job rotations, mentorships, coaching & trainings. 2024 & 2025 Graduates are welcomed to apply.<br>Key Responsibilities:<br>Enter and update employee data accurately across HR systems. Process employee movements, including new hires, transfers, and promotions. Coordinate job changes with Internal Mobility, Organization Design, HRBP, and IT HCM teams. Ensure HR data confidentiality and compliance with data protection and privacy policies. Maintain high data quality, consistency, security, and process efficiency. Process HR data transactions within defined SLAs and in line with HR policies and SOPs. Identify opportunities for automation and digitization of HR data processes.<br>Requirements:<br>Academic Qualifications: Bachelor’s degree in Business Administration, Information Systems, or a related field. Language Proficiency: Excellent command of English. Years of Experience: 0-2 Years of experience in the same field. Computer/Technical Skills: MS Office (Excel & Word) - Google Sheets - Oracle HCM is a plus -HRIS / HR Data Management - Data Governance & Data Privacy - HR Process Digitization & Automation.

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <p>#VOIS #BeUnrivalled #CreateTheFuture</p> <h4>About this role</h4> <p>We are seeking a senior data engineer to design, build, and optimise scalable data solutions that enable effective use of large datasets. This role focuses on improving data systems, ensuring data quality and accessibility, and supporting informed decision-making across the business through reliable data platforms and insights.</p> <h4>What you’ll do</h4> <ul> <li>Analyse and manage raw data across existing data collection systems, recommending improvements and enhancements</li> <li>Design, build, and implement new data collection and processing systems where required</li> <li>Ensure data systems are secure, scalable, and accessible to relevant stakeholders</li> <li>Maintain and document code for future upgrades, enhancements, and system maintenance</li> <li>Provide guidance, training, and support to stakeholders on newly implemented systems</li> </ul> <h4>Who you are</h4> <ul> <li>Bachelor’s degree in computer science, engineering, or a related field</li> <li>Proven experience (5+ years) in a similar data engineering role</li> <li>Strong expertise in data management (ETL), data modelling, visualisation tools (e.g., Tableau, Power BI), and data pipeline development</li> <li>Proficiency in SQL and experience in programming languages such as Python or Java</li> <li>Experience with Linux environments, shell scripting, and big data tools such as Hadoop and Spark</li> <li>Familiarity with cloud platforms (preferably AWS or GCP), data governance, and warehousing solutions</li> <li>Strong analytical thinking, problem-solving ability, and attention to detail</li> <li>Effective communication and stakeholder engagement skills</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Opportunity to work on large-scale, global data platforms and advanced analytics solutions</li> <li>Exposure to modern data technologies, cloud infrastructure, and big data ecosystems</li> <li>A collaborative environment that encourages innovation, learning, and continuous improvement</li> <li>Opportunities to contribute to high-impact business decisions through data-driven insights</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced data engineering techniques and scalable system design</li> <li>Hands-on experience with cloud-based data platforms and big data tools</li> <li>Data governance, security, and compliance practices in enterprise environments</li> <li>Stakeholder engagement and translating business needs into technical solutions</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br><p>Our client is an AI company focused on forecasting and attribution intelligence products. The Data Engineering team builds and maintains data pipelines that support analytics, customer onboarding, reporting, forecasting, and AI-driven use cases.</p><br>Role Overview<p>The <strong>Contract Data Engineer</strong> will help build and maintain reliable, analytics-ready data pipelines that power AI-driven forecasting and attribution intelligence products.</p><br><p>This is a hands-on contract role focused on execution, quality, and collaboration across Analytics, Data Science, and Product teams. The Contract Data Engineer will work within a modern analytics engineering stack centered on Python, dbt, and Dagster, primarily supporting customer onboarding and reporting workflows.</p><br>Location<p><strong>Fully Remote | </strong>9:00 AM - 5:00 PM EST</p><br>Key ResponsibilitiesData Pipeline Development<ul><li><p>Build and maintain scalable, fault-tolerant ELT pipelines using Python.</p><br></li><li><p>Model clean, analytics-ready datasets for BI, forecasting, and ML feature consumption.</p><br></li><li><p>Contribute to the refactoring and improvement of existing data workflows as product needs evolve.</p><br></li></ul>dbt Development<ul><li><p>Develop and optimize dbt models.</p><br></li><li><p>Build and maintain dbt tests and documentation.</p><br></li><li><p>Follow analytics engineering best practices.</p><br></li></ul>Workflow Orchestration &amp; Monitoring<ul><li><p>Orchestrate and monitor workflows using Dagster.</p><br></li><li><p>Monitor pipeline health using observability tools and metrics.</p><br></li><li><p>Troubleshoot pipeline failures, performance issues, and data inconsistencies.</p><br></li></ul>Data Quality<ul><li><p>Implement and maintain data quality checks.</p><br></li><li><p>Develop and maintain testing strategies.</p><br></li><li><p>Follow established team standards for SLAs, code quality, and deployments.</p><br></li></ul>Cross-Functional Collaboration<ul><li><p>Collaborate with Data Scientists to support forecasting and AI-driven use cases.</p><br></li><li><p>Work cross-functionally with Product, Analytics, and Data Science teams.</p><br></li><li><p>Work closely with clients to solve data issues.</p><br></li></ul>QualificationsExperience<ul><li><p><strong>3+ years of professional experience</strong> in data engineering or analytics engineering.</p><br></li><li><p>Hands-on experience with dbt Core or Cloud.</p><br></li><li><p>Hands-on experience with Dagster or similar orchestration tools.</p><br></li><li><p>Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.</p><br></li><li><p>Experience working cross-functionally with Product, Analytics, or Data Science teams.</p><br></li><li><p>Experience supporting machine learning or forecasting pipelines is a plus.</p><br></li><li><p>Experience with retail, supply chain, or time-series data is a plus.</p><br></li><li><p>Experience with data observability or quality tooling is a plus.</p><br></li><li><p>Startup or fast-paced product environment experience is a plus.</p><br></li></ul>Skills<ul><li><p>Strong proficiency in Python, including tools such as pandas, SQLAlchemy, and psycopg2.</p><br></li><li><p>Advanced SQL skills, including CTEs, window functions, and query optimization.</p><br></li><li><p>Familiarity with modern ELT tools such as Airbyte, Fivetran, Meltano, or dltHub.</p><br></li><li><p>Ability to troubleshoot pipeline failures, performance issues, and data inconsistencies.</p><br></li><li><p>Ability to work closely with clients to solve data issues.</p><br></li><li><p>Ability to work independently and deliver in a contract environment.</p><br></li></ul>What Success Looks Like<ul><li><p>Reliable, analytics-ready data pipelines support AI-driven forecasting and attribution intelligence products.</p><br></li><li><p>ELT pipelines are scalable and fault-tolerant.</p><br></li><li><p>dbt models, tests, and documentation follow analytics engineering best practices.</p><br></li><li><p>Workflows are orchestrated and monitored using Dagster.</p><br></li><li><p>Data quality checks and testing strategies are maintained.</p><br></li><li><p>Pipeline failures, performance issues, and data inconsistencies are troubleshot.</p><br></li><li><p>Established team standards for SLAs, code quality, and deployments are followed.</p><br></li></ul>Opportunity<p>This hands-on contract role offers the opportunity to work within a modern analytics engineering stack centered on <strong>Python, dbt, and Dagster</strong>, supporting customer onboarding and reporting workflows while collaborating across Analytics, Data Science, and Product teams.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

Job Title: Senior Data Analyst / Document Controller Company Name: Elsewedy Electric E&C<br>Job Purpose: Support sector-wide data governance, reporting, analytics, and document management activities by ensuring data integrity, reporting accuracy, document control effectiveness, and availability of reliable information to support governance, risk, compliance, and executive decision-making. Key Accountabilities: Consolidate and validate data from Business Units and sector functions to ensure accuracy, completeness, and reporting reliability. Support development and maintenance of sector dashboards, reports, and performance analytics to enhance visibility and decision-making. Maintain document control practices and information repositories to ensure proper governance, traceability, and accessibility of records. Support implementation and governance of document management systems and sector data standards. Monitor data quality and reporting compliance to support effective governance, risk, and compliance oversight across the sector. HSE Responsibilities Comply with all applicable Elsewedy Electric QHSE policies, procedures, and requirements. Promote a safe working environment and report any identified risks or unsafe conditions. Support continuous improvement of health, safety, environmental, and quality performance. Participate in relevant QHSE awareness and compliance activities.<br><br>Job Requirements: - Years of experience: 3–6 years of experience in Data Analysis, Reporting, Document Control, Information Management, or Business Intelligence.-Preferred Experience within EPC, construction, infrastructure, industrial, or engineering environments. Academic Qualifications: -Bachelor's Degree in Engineering, Business Informatics, Computer Science, Information Systems, Business Administration, or equivalent.-Preferred Postgraduate studies in Data Analytics, Business Intelligence, Information Management, or Digital Transformation. Professional Certificates: -Power BI Certification, Data Analytics Certification, or equivalent.-Preferred Data Management Certification, Document Control Certification, CBIP or equivalent.<br>Computer skills:• Microsoft Office Suite• Power BI• Advanced Excel• Document Management Systems (DMS)• Data Visualization & Reporting Tools• Share Point or equivalent collaboration platforms

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>CARMA is a globally trusted media intelligence leader with decades of experience helping PR and communications professionals monitor what matters, measure what’s meaningful, and demonstrate the value of their work.<br> We combine cutting-edge technology, including AI-enabled media monitoring across print, online, broadcast, and social channels in 100+ languages, with deep human expertise to deliver actionable insights that inform strategy and drive business-critical decisions.<br> With a diverse global team supporting thousands of organisations worldwide, CARMA empowers partners to turn complex media data into clarity and context, elevate the impact of earned media, and deepen understanding of stakeholder influence across markets.<br> Role overview CARMA is seeking an experienced Data Protection Officer to lead its global privacy programme across MENA, Europe and Asia.<br> The role will ensure compliance with applicable data protection laws, oversee privacy governance, DPIAs, data subject requests, breach response, third-party compliance and privacy training, and act as the main point of contact for regulators and supervisory authorities.<br> The ideal candidate will have five to seven years of relevant experience, including at least three years in privacy, with strong knowledge of GDPR and international data protection regulations.<br> Role &amp; Responsibilities Data Protection Governance • Develop, implement and continuously improve the company's global privacy programme.<br> • Maintain privacy governance policies, standards and procedures.<br> • Ensure privacy controls are embedded across all business functions.<br> • Develop regional privacy compliance frameworks appropriate for MENA, EU and Asia.<br> • Establish privacy governance committees and reporting mechanisms.<br> Regulatory Compliance Maintain and evidence compliance with the data protection regimes applicable across the company's markets: • European Union and United Kingdom: EU General Data Protection Regulation (GDPR), UK GDPR, ePrivacy requirements and national implementing legislation.<br> • MENA: UAE PDPL, Saudi Personal Data Protection Law (PDPL), Oman Personal Data Protection Law and other applicable regional legislation.<br> • Asia: Singapore PDPA, Hong Kong PDPO, Japan APPI and other applicable regional legislation.<br> Data Protection Impact Assessments • Lead Data Protection Impact Assessments (DPIAs) and Privacy Impact Assessments.<br> • Identify and mitigate privacy risks.<br> • Advise the business on high-risk processing activities.<br> • Maintain DPIA registers.<br> • Review high-risk technologies.<br> Data Subject Rights (Clients, Prospects and Internal) Oversee the processes relating to: • Access requests • Correction requests • Erasure requests • Portability requests • Restriction requests • Objection requests • Automated decision-making requests Incident and Breach Management • Lead privacy incident response.<br> • Assess whether breaches are reportable.<br> • Coordinate investigations.<br> • Advise management on notification obligations.<br> • Liaise with regulators where required.<br> • Conduct post-incident reviews.<br> Third Party Privacy Compliance • Review Data Processing Agreements (DPAs).<br> • Conduct vendor privacy assessments.<br> • Monitor third-party compliance.<br> • Review subprocessors.<br> Training • Develop annual privacy training programmes.<br> • Conduct awareness campaigns.<br> Audit • Conduct privacy compliance monitoring.<br> • Perform internal audits.<br> • Review regional compliance.<br> • Monitor remediation actions.<br> Regulatory Engagement Serve as the primary point of contact for: • Supervisory authorities • Data protection regulators • Government enquiries and licence requirements • Regulatory inspections • External auditors Policy Development Develop and maintain the following policies, and ensure they are business-centric and implemented in practice: • Global Privacy Policy • Employee Privacy Notice • Customer Privacy Notice • Cookie Policy • Data Retention Policy • Data Breach Procedure • Data Subject Rights Procedure • Vendor Privacy Standard • AI and Data Governance Policies Technical SkillsPrivacy and Regulatory Knowledge Strong knowledge of the GDPR and applicable privacy laws across CARMA’s operating markets, including the UAE PDPL and the Egyptian Personal Data Protection Law.<br> Knowledge of ePrivacy requirements and cookie regulations.<br> Understanding of cross-border data transfer mechanisms, including Standard Contractual Clauses, the UK International Data Transfer Agreement and adequacy decisions.<br> Strong understanding of lawful bases for processing, data subject rights and sensitive personal data.<br> Practical knowledge of privacy-by-design principles and regulatory compliance requirements.<br> Information Security Literacy The role does not require advanced IT expertise; however, the job holder should have a working understanding of: Information security and privacy-by-design principles.<br> ISO/IEC 27001 and the NIST Cybersecurity Framework.<br> Access controls, identity management and cloud security fundamentals.<br> Data protection controls and data-loss prevention.<br> Data breach management and incident-response processes.<br> Education Bachelor’s degree in Law, Information Technology, Information Security, Business Administration or a related discipline.<br> A postgraduate qualification or specialised training in data protection, privacy law or information governance is an advantage.<br> Experience At least five years of experience in data protection, privacy, legal or compliance roles, including a minimum of three years dedicated to privacy.<br> Demonstrated experience managing a privacy programme across multiple jurisdictions.<br> Practical experience leading Data Protection Impact Assessments, data breach response and data subject rights processes.<br> Experience reviewing Data Processing Agreements and conducting vendor privacy assessments.<br> Experience engaging with supervisory authorities, regulators and external auditors.<br> Experience developing and delivering privacy training and awareness programmes.<br> Experience developing and implementing privacy policies, procedures and compliance controls.<br> Preferred Certifications The following certifications are advantageous but not required: Certified Information Privacy Professional/Europe — CIPP/E.<br> Certified Information Privacy Manager — CIPM.<br> Certified Information Privacy Technologist — CIPT.<br> ISO/IEC 27701 Lead Implementer or Lead Auditor.<br> ISO/IEC 27001 Lead Auditor.<br></span> </div>

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p><strong>What We Do</strong></p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p><strong>About the Role</strong></p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Educational qualifications</strong></p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li></ul><p><strong>Academic and/or Professional Experience</strong></p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p><strong>Project time expectations</strong></p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p><strong>Compensation</strong></p><p>On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<p>Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people s lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet. As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.</p><p>As a Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.</p><strong>Key Responsibilities:</strong><ul><li>Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools.</li><li>Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas.</li><li>Help with defining KPI metrics and drive data governance through standardisation and communication.</li><li>Create the documentation and presentation for management.</li><li>Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.</li><li>Be adept at queries, report writing and presenting findings.</li><li>Research and validate entity data using appropriate internal and external data sources.</li><li>Liaise and analyse projects within the Reference Data environment.</li><li>Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions An example would be regression testing systems ahead of upgrades.</li><li>Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies.</li><li>Responsible for data quality and timely delivery of reports that make common business sense.</li><li>Participate in Analytics &amp; Reporting trainings to evangelize data across the organization.</li><li>Be able to work autonomously without supervision.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in statistics, mathematics, computer science, or related field. Master s degree is a plus.</li><li>Minimum 3 years of work experience in analytics, having worked closely with products and commercials in an internet/e-commerce company.</li><li>Experience in e-commerce, internet, and/or digital media.</li><li>Extensive experience with SQL.</li><li>Proficient in Microsoft Excel.</li><li>Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.).</li><li>Skills in Python, R or similar tools are a big plus.</li><li>Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc).</li><li>Good analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations.</li><li>Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.</li><li>Good attention to detail.</li><li>Written and verbal proficiency in English.</li><li>Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations.</li><li>Passion for data and metrics.</li><li>Hands-on attitude and the ability to thrive in a fast-paced environment.</li><li>Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group.</li><li>Analytical thinking, Conceptual thinking, Detail-oriented, Business Acumen.</li><li>Strong curiosity and striving for continuous learning.</li><li>Thrive in a fast-paced, innovative environment.</li><li>Living the team values: Simpler. Better. Faster. A fast paced, high performing team.</li></ul>

Job Description<br><br>Enter and update purchasing and planning data accurately on the system. Maintain and organize records, purchase orders, and inventory-related data. Review data for accuracy and report any missing or incorrect information. Support the Purchasing and Planning teams with daily administrative tasks. Prepare simple reports and Excel sheets when needed.<br><br>Requirements<br><br>0–2 years of experience in Data Entry or a similar role. Good knowledge of Microsoft Excel. Strong attention to detail and accuracy. Good organizational and follow-up skills. Good communication skills. Previous experience with ERP/Odoo is a plus.

You will build and lead the team that turns the data into something the business can actually run on. Company operates across several verticals and markets: digital goods, ticketing, travel and trading, in Iraq, the UAE and KSA. Each has grown its own reporting, its own metric definitions and its own version of the numbers, so basic questions take days and the answers do not always agree.<br>You will hire the team, own the data platform end to end, from ingestion through warehouse and modelling to the analytics layer on top, and make trusted data a capability the rest of the org can rely on rather than a queue it waits behind.<br>What you'll do Build and lead the data team: Hire, mentor and grow data and analytics engineers, and set the bar for a function that every other team depends on daily. Own the technical strategy and architecture for the data platform: Ingestion from operational systems and third parties, warehouse and modelling layer, orchestration, and the semantic layer that keeps metrics consistent across verticals. Establish a single source of truth for core business metrics: With definitions agreed with commercial, finance and product, and pipelines that make the numbers reproducible and trusted. Deliver self-serve analytics: So most questions are answered without a ticket, and the team's time goes to platform work rather than ad hoc pulls. Treat data as a product and own its reliability: Freshness SLAs, lineage, testing, and alerting that fires when something breaks upstream rather than when a stakeholder notices. Partner with security and legal on governance: Access control, retention and the handling of PII (passport and telecom identifiers) across markets with different regulatory expectations. Build the foundation the next stage depends on: Event tracking standards, the data that data science, personalisation, fraud and experimentation will need. Partner with product and engineering teams: So instrumentation and data contracts are designed into services rather than bolted on afterwards.<br>What you'll bring8+ years in software or data engineering, with 3+ years leading engineering teams, including hiring and growing engineers. Direct experience building and operating a production data platform: Batch and streaming ingestion, warehouse modelling, orchestration, and the operational discipline to keep it reliable at scale. Strong hands-on technical judgment to lead design reviews and make build-vs-buy and cost tradeoffs on warehouse and tooling spend. Deep SQL and dimensional modelling, and comfortable in a Python, Type Script, Go, Postgres and AWS environment. Track record of getting an organisation to agree on metric definitions, not just shipping pipelines. Much of this role is aligning people who currently disagree about what a number means. Governance instincts: Access, PII and retention should be treated as design inputs rather than an audit exercise. The judgment to sequence a platform build so that it has to be built without laying a foundation that will need to be torn up in a year.<br>Nice to have Experience standing up a data function from zero, or consolidating fragmented reporting across business units. Product analytics experience on e-commerce, marketplaces, payments or fintech. Experience supporting data science and ML in production: Feature pipelines, model serving or MLOps. MENA or emerging-market experience, including multi-currency and multi-market reporting.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Dubizzle Egypt is the leading marketplace for selling and buying online in the region.<br> Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for both individuals and businesses.<br> Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.<br> As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market.<br> With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.<br> As a Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company.<br> You will have close interaction with teams in marketing, sales, finance, and product.<br> You will work in a fast-paced environment that is professional, international and entrepreneurial.<br> Key Responsibilities: Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools.<br> Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas.<br> Help with defining KPI metrics and drive data governance through standardisation and communication.<br> Create the documentation and presentation for management.<br> Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.<br> Be adept at queries, report writing and presenting findings.<br> Research and validate entity data using appropriate internal and external data sources.<br> Liaise and analyse projects within the Reference Data environment.<br> Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions – An example would be regression testing systems ahead of upgrades.<br> Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies.<br> Responsible for data quality and timely delivery of reports that make common business sense.<br> Participate in Analytics &amp; Reporting trainings to evangelize data across the organization.<br> Be able to work autonomously without supervision.<br> A fast paced, high performing team.<br> Comprehensive Health Insurance Life Insurance Rewards &amp; Recognitions Learning &amp; Development opportunities #Egyptdubizzle Qualifications: Bachelor’s degree in statistics, mathematics, computer science, or related field.<br> Master’s degree is a plus.<br> Experience: Minimum 3 years of work experience in analytics, having worked closely with products and commercials in an internet/e-commerce company.<br> Experience in e-commerce, internet, and/or digital media.<br> Knowledge: Extensive experience with SQL.<br> Proficient in Microsoft Excel.<br> Experience working with BI tools (e.<br>g. Looker, Periscope, Tableau, etc.<br>). Skills in Python, R or similar tools are a big plus.<br> Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc).<br> Skills: Good analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations.<br> Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.<br> Good attention to detail.<br> Written and verbal proficiency in English.<br> Traits: Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations.<br> Passion for data and metrics.<br> Hands-on attitude and the ability to thrive in a fast-paced environment.<br> Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group.<br> Analytical thinking, Conceptual thinking, Detail-oriented, Business Acumen.<br> Strong curiosity and striving for continuous learning.<br> Thrive in a fast-paced, innovative environment.<br> Living the team values: Simpler.<br> Better. Faster.</span> </div>

Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet. As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs. As a Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.<br>Key Responsibilities:Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools. Design and develop BI dashboards using Sisense or similar tools (Tableau, Power BI, Data Studio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas. Help with defining KPI metrics and drive data governance through standardisation and communication. Create the documentation and presentation for management. Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements. Be adept at queries, report writing and presenting findings. Research and validate entity data using appropriate internal and external data sources. Liaise and analyse projects within the Reference Data environment. Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions - An example would be regression testing systems ahead of upgrades. Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies. Responsible for data quality and timely delivery of reports that make common business sense. Participate in Analytics & Reporting trainings to evangelize data across the organization. Be able to work autonomously without supervision.<br><br>Requirements<br><br>Qualifications:Bachelor's degree in statistics, mathematics, computer science, or related field. Master's degree is a plus. Experience:Minimum 3 years of work experience in analytics, having worked closely with products and commercials in an internet/e-commerce company. Experience in e-commerce, internet, and/or digital media. Knowledge:Extensive experience with SQL. Proficient in Microsoft Excel. Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.). Skills in Python, R or similar tools are a big plus. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc). Skills:Good analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Good attention to detail. Written and verbal proficiency in English. Traits:Proactive and passionate: You are independently capable of seeking information, solving conceptual problems and delivering high-quality results in challenging situations. Passion for data and metrics. Hands-on attitude and the ability to thrive in a fast-paced environment. Highly motivated, professional, creative, proactive and able to work independently and cooperatively in a diverse group. Analytical thinking, Conceptual thinking, Detail-oriented, Business Acumen. Strong curiosity and striving for continuous learning. Thrive in a fast-paced, innovative environment. Living the team values: Simpler. Better. Faster.<br><br>Benefits<br><br> A fast paced, high performing team. Comprehensive Health Insurance Life Insurance Rewards & Recognitions Learning & Development opportunities #Egyptdubizzle

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

Our Company<br><br>Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. <br><br>The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. <br><br>What You’ll Do<br><br>What the role is about:  As a Principal/Staff Data Scientist at Teradata, you will serve as a senior individual contributor responsible for defining analytical approaches, scoping complex data science projects, and delivering high-impact solutions across multiple industries. You will tackle highly complex and ambiguous problems, architect end-to-end data science workflows, and provide deep technical guidance to cross-functional teams—without direct people management responsibilities. What impact this role has:  Your expertise will shape the technical direction of data science initiatives, influence solution design across teams, and help internal and external stakeholders make well-informed decisions. By leveraging advanced modeling, statistical rigor, and deep domain insight, you will ensure that Teradata delivers scalable, high-quality analytical solutions that drive measurable business value for our clients. What success might look like:  Success in this role means independently leading the most challenging parts of data science engagements, producing reliable and scalable solutions, and serving as a trusted technical advisor to product managers, engineers, and business stakeholders. You will be recognized for your ability to translate complex business problems into well-scoped analytical strategies, and for consistently raising the technical bar across the team. <br><br>Who You’ll Work With<br><br>An outline of the team:  You will be part of a collaborative and dynamic data science team that works closely with data engineers, project managers, solution architects, and business stakeholders. You will contribute as a high-level technical expert, helping teams navigate complexity and ensuring that analytical solutions are sound, scalable, and aligned with business needs. The role and the team play at Teradata:  The data science team at Teradata plays a crucial role in transforming data into strategic assets. As a Principal/Staff Data Scientist, you will influence the technical direction of projects, contribute reusable methodologies, and help shape best practices for developing advanced analytical solutions across multiple engagements. Who the position reports to: This position reports to the Data Science Team Manager. <br><br>What Makes You a Qualified Candidate<br><br>Non-negotiable qualifications:<br><br>Minimum of 8 years of experience in data science, machine learning, or applied analytics. Expertise in programming languages such as Python and SQL. Strong understanding of advanced statistical methods, machine learning, deep learning, and Gen AI techniques. Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities. Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences. <br><br>What You’ll Bring<br><br>Advanced Data Analysis and Modeling: Perform highly complex data analysis and build sophisticated predictive and prescriptive models using advanced statistical, machine learning, and deep learning techniques. Technical Leadership: Define analytical approaches, scope data science components in partnership with PMs, and lead the technical direction of projects across multiple industries. Cross-Functional Collaboration: Work closely with data engineers, product managers, and business stakeholders to align on requirements, solution direction, and implementation plans. Data Exploration: Explore large and diverse datasets to uncover insights, evaluate feasibility, and guide model and feature design. Model Deployment: Collaborate with engineering teams to implement, optimize, and maintain machine learning models in production environments, ensuring scalability, performance, and reliability. Mentorship: Provide informal technical mentoring, conduct deep code/model reviews, and guide other data scientists in best practices—without direct people management. Communication: Present complex findings, trade-offs, and solution paths to technical teams, business partners, and customer stakeholders in a clear and concise manner. Continuous Improvement: Stay current with emerging data science, machine learning, and Gen AI advancements, applying new techniques to enhance solution quality and accelerate delivery. <br><br><br><br>Why We Think You’ll Love Teradata<br><br>We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.<br><br>Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

About the Role We are looking for a Data Analyst with strong SQL, dashboarding, and business analysis skills to transform business questions into clear, actionable analytical outputs. The ideal candidate will be comfortable working across business and technical teams, translating requirements into structured analysis, building dashboards and reports, and maintaining clear documentation around business metrics, definitions, and data logic.<br>Key Responsibilities Analyze data using SQL to identify trends, opportunities, anomalies, and business issues. Build, maintain, and enhance dashboards and recurring reports for business stakeholders. Gather, refine, and document business requirements through JIRA stories, acceptance criteria, and analyst workflows. Translate business needs into structured analysis plans and measurable outputs. Create and maintain semantic definitions, metric logic, business glossary content, and knowledge documentation. Validate data quality and investigate discrepancies across systems, dashboards, and reporting layers. Present analytical findings through clear summaries, visualizations, and actionable recommendations. Partner with Product, Engineering, Data, and Business teams to improve reporting clarity and data understanding. Ensure analytical outputs are accurate, well-documented, and aligned with business objectives.<br>Requirements Must-Have Skills3+ years of experience in Data Analysis, Business Intelligence, Analytics, or a related field. Strong SQL skills with experience working with large datasets. Hands-on experience building dashboards using Tableau, Power BI, or similar BI platforms. Experience documenting requirements using JIRA, user stories, acceptance criteria, or similar methodologies. Strong business acumen with the ability to understand business questions and translate them into analytical solutions. Excellent written communication skills, particularly in documenting semantic definitions, metric logic, and business knowledge. Strong attention to detail and structured problem-solving skills. Ability to quickly understand business context, data structures, and analytical requirements. Ability to produce clear, actionable analysis with minimal ramp-up time. Strong ability to bridge communication between business and technical teams.<br>Nice-to-Have Skills Experience with semantic layers, KPI frameworks, or data modeling concepts. Familiarity with Agile/Scrum delivery environments. Experience collaborating with both technical and non-technical stakeholders. Experience working with business glossaries, data catalogs, or knowledge management practices.<br>What We're Looking For The ideal candidate is a business-oriented Data Analyst who can work independently, ask the right questions, and turn complex data into insights that stakeholders can understand and act upon. Strong communication, documentation, and analytical thinking are just as important as technical SQL and BI skills.

About the Role We are looking for a Business Data Analyst to join our Data Management and AI team and support data-driven decision-making across our digital banking platform. In this role, you will work closely with business stakeholders and technical teams to translate business questions into measurable metrics, build dashboards, and ensure that data insights support business objectives. This position is ideal for a junior analyst who is passionate about data, analytics, and financial technology and wants to grow within a fast-paced fintech environment. Team Overview The Data Management and AI team works across the entire technology stack at QNBeyond Plus, enabling advanced analytics, reporting, and AI-driven insights. Our team collaborates with multiple technology and business teams to manage, analyze, and serve data that helps deliver innovative digital banking experiences for our customers. Key Responsibilities Business & Data Collaboration Act as a bridge between business stakeholders and data teams. Gather and document reporting and analytics requirements. Translate business questions into metrics, KPIs, and analytical insights. Analytics & Reporting Design and develop dashboards and reports to support business decisions. Validate that analytical outputs accurately answer business needs. Data Analysis Analyze business data to identify patterns, trends, and opportunities. Support teams in using data to improve customer experience and operational performance. Stakeholder Engagement Lead analytical initiatives and influence stakeholders with data insights. Ensure effective communication between business teams and technical teams. What We Are Looking For You must be:Self-motivated, proactive, and results-driven A team player who enjoys collaboration and learning A problem solver who approaches challenges with analytical thinking Customer-oriented, committed to delivering valuable insights Detail-oriented, especially regarding data quality and compliance Adaptable and eager to grow in a fast-paced fintech environment Qualifications Technical Skills Strong knowledge of SQLGood understanding of data modeling concepts Knowledge of business intelligence tools is a plus Professional Skills Strong verbal and written communication skills Experience with requirements gathering and documentation Basic leadership or initiative-taking capabilities Domain Knowledge Knowledge of banking or financial services is a plus Experience working in regulated environments or PCI/DSS compliance is advantageous Experience2+ years of experience in data analysis, business analysis, or system analysis At least 1 year of experience in fintech or regulated environments is preferred

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required)</p><p></p></section>

<p><b>Job Purpose</b></p><p>Support the commercial departments with proper segmentation and data mining models to achieve Etisalat revenue growth, retain and enhance customers’ experience.</P><p><b>Report To Position Name</b></p><p> Avail group of segmentation (Micro segmentation, value driven and behaviour driven) through communicating with the concerned departments to support the commercial departments in the approaching decision making Monitor and validate specified customer data through SAP business object tool to provide the concerned departments with data accessibility to accelerate their job. Enhance all Etisalat Segments and models through revaluation of current market behaviour to ensure the accuracy and applicability of segments and models. Provide the concerned departments with the available data mining models and segments through conducting training sessions to help them to increase Etisalat subscriber revenue </p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>What We Do</p><p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project.</p><p>As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p><p>Key Responsibilities:</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Project time expectations</p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation</p><p>On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Requirements:</p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.</li><li>We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.</li><li>A methodical, detail-oriented approach and the ability to work independently are essential.</li><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><p></p></section>