Data Entry Jobs in Egypt

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <em><b>Job description</b><br> <br> </em> </p> <p>a Data Scientist role, who will be responsible for guiding the successful delivery of Analytic Solutions to internal customers. The Data Scientist will be responsible for designing and executing processes related to AI, ML, predictive / analytical modeling, data mining, and research on large scale, complex data sets, using statistical, machine learning, graph modeling, text mining and other modern techniques. This individual is also responsible for collaborating with various teams and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously. This position will also be involved in the formulation of key business requirements to be solved, rationalizing the various analytical approaches to solve those problems. Finally, this position is involved in helping to develop, analyze and draw conclusions, and presenting the results back to business users.<br> <br> </p> <p> <em>Key responsibilities</em> </p> <p>Must know the in and out of the AI/ML algorithm being used and not just the library to call.</p> <p>Should have commissioned at least two projects end to end beyond the Proof of Concept.</p> <p>Design state of the art descriptive, diagnostic and predictive algorithms based on the business<br> <br> <em> <span>Requirements</span></em> </p> <ul> <li>Deliver enterprise level analytics solutions to SLB customers</li> <li>Provide analytics solutions in Big data platform which can scale</li> <li>Design distributed, GPU and parallelized algorithms</li> <li>Architect the data science solutions to complex high dimensional data</li> <li>Deep dive on to theoretical and implementation details and provide the solution fundamentals</li> <li>Support architecture and platform team to optimize their operation</li> <li>Capable to train and gain expertise quickly on new Infrastructure tools and all assigned technologies</li> <li>Business</li> <li>Engage with the business segments and internal stakeholders to capture requirements</li> <li>Work closely with analysts and business process managers to develop an end-to-end analytics solution</li> <li>Present and Communicate solution design with Business &amp; IT audience <br> </li> <li>External Presence</li> <li>Engage with the external technical and business community to brand and differentiate analytics best practices in </li> <li>Participate in technical forums and other appropriate events and conferences</li> <li>Qualifications and Requirements Essential qualifications</li> <li>PhD or master s degree in computer science, Electrical Engineering, Mathematics and Computing, Operations Research from top tier institutes.</li> <li>Devops driven 4-6 years of Industrial experience in developing core machine learning algorithms</li> <li>Academically trained in the field of machine learning/AI/Data Science/Computer Vision etc</li> <li>Excellent communication, verbal and written skills</li> <li>Key competencies in data science technologies</li> <li>Strong background in some of these listed areas: Machine learning, time series analysis / sensor processing, AI/Deep Learning, optimization/operations research, text analytics/NLP, Applied Mathematics, Decision Sciences, Computer Vision</li> <li>Building and applying machine learning / predictive modelling in real-world use cases</li> <li>Strong understanding and implementation and solution architecting of predictive / analytical modeling techniques, theories, principles, and practices</li> <li>Strong theoretical foundations in machine learning, optimization, stochastic process, linear algebra etc.</li> <li>Excellent knowledge of data mining / predictive modeling tools such as Python, Spark, Tensorflow, Keras, MLlib etc.</li> <li>Ability in designing distributed and parallelized algorithms</li> <li>Ability in deploying real world solutions in Hive, Spark and other Hadoop Technologies in Cloud and In-premise</li> <li>Capable of delivering on multiple competing priorities with little supervision<br> <br> <br> <em><b>Other skills and abilities</b></em> </li> <li>Deep understanding of big data platforms such as Azure, Google cloud etc.</li> <li>Ability to abstract model representations and formulate repeatable models </li> <li>Strong ability to work in a fast-paced environment </li> <li>Strong ability to work both autonomously and in a team </li> <li>Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences </li> <li>Understanding of Oil and Gas domain is a plus</li> <li>Experience working with, processing and managing large data sets (multi TB scale) is preferred</li> <li>Experience in real-time stream processing is a plus</li> <li>Keep continuously up to date on all assigned technologies<br> </li> </ul> <p> </p></div></section>

<p><h4>Join us</h4> <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> <h4>Role purpose</h4> <p>You are building the foundation that our entire software and AI stack relies on. You won't be doing basic drag-and-drop data integration—you will write distributed backend code to process large-scale batch and real-time data streams.</p> <h4>Role responsibilities</h4> <li>Distributed big data processing: Write, optimize, and debug large-scale batch data transformation jobs using Apache Spark.</li> <li>Real-time event streaming: Implement and maintain event-driven streaming pipelines using Apache Kafka to deliver low-latency data across microservices.</li> <li>ETL/ELT orchestration: Build automated ingestion pipelines using orchestrators (example: Airflow or any tool) and data transformation layers to pull from APIs and databases.</li> <li>Lakehouse governance: Structure and manage our data lakehouse, organizing schemas, enforcing data quality rules, and optimizing query performance for downstream BI and AI teams.</li> <h4>Competencies and qualifications</h4> <li>Advanced SQL: Write complex window functions and Common Table Expressions (CTEs); analyze and optimize query execution plans for speed.</li> <li>Backend programming: Strong coding proficiency in Python (for scripting/orchestration) or Scala/Java (for high-performance Spark/Kafka engineering).</li> <li>Distributed systems (Spark/Kafka): Solid understanding of how distributed compute works—specifically Apache Spark (handling data skew, transformations vs. actions) and Apache Kafka (brokers, topics, partitioning, offsets).</li> <li>Lakehouse architectures: Foundational knowledge of open table formats like Apache Iceberg or Delta Lake, and how to model data across Bronze, Silver, and Gold storage layers.</li> <li>Infrastructure: Comfortable with basic Linux admin and bash commands, monitoring and automation for data services.</li> <h4>Not a perfect fit?</h4> <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> <h4>Who we are</h4> <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> <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> <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 our application adjustments guidance.</p> <p>Together we can.</p></p><p></p>

<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>Role Purpose</b> <br><p>You are building the foundation that our entire software and AI stack relies on. You won't be doing basic drag-and-drop data integration—you will write distributed backend code to process large-scale batch and real-time data streams</p><br><br><br><b>Role Responsibilitoes </b> <br><ul> <li><strong>Distributed Big Data Processing:</strong> Write, optimize, and debug large-scale batch data transformation jobs using <strong>Apache Spark</strong>.</li> <li><strong>Real-Time Event Streaming:</strong> Implement and maintain event-driven streaming pipelines using <strong>Apache Kafka</strong> to deliver low-latency data across microservices.</li> <li><strong>ETL/ELT Orchestration:</strong> Build automated ingestion pipelines using orchestrators (example : Airflow or any tool) and data transformation layers to pull from APIs and databases.</li> <li><strong>Lakehouse Governance:</strong> Structure and manage our <strong>Data Lakehouse</strong>, organizing schemas, enforcing data quality rules, and optimizing query performance for downstream BI and AI teams.</li> </ul><br><br><b>Competencies and Qualifications</b> <br><ul> <li><strong>Advanced SQL:</strong> Write complex window functions and Common Table Expressions (CTEs); analyze and optimize query execution plans for speed.</li> <li><strong>Backend Programming:</strong> Strong coding proficiency in <strong>Python</strong> (for scripting/orchestration) OR <strong>Scala/Java</strong> (for high-performance Spark/Kafka engineering).</li> <li><strong>Distributed Systems (Spark/Kafka):</strong> Solid understanding of how distributed compute works—specifically <strong>Apache Spark</strong> (handling data skew, transformations vs. actions) and <strong>Apache Kafka</strong> (brokers, topics, partitioning, offsets).</li> <li><strong>Lakehouse Architectures:</strong> Foundational knowledge of open table formats like <strong>Apache Iceberg</strong>, or <strong>Delta Lake</strong>, and how to model data across Bronze, Silver, and Gold storage layers.</li> </ul> <ul> <li><strong>Infrastructure:</strong> comfortable with basic Linux admin &amp; bash commands, monitoring and automation for data services.</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>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>

<p>Envision Employment Solutions is currently looking for a Senior Gen AI/Agentic AI Full Stack Lead for one of our partners, a leader in the Consulting &amp; Technology Services !</p><p><strong>Objective:</strong> We are seeking an experienced Senior Gen AI/Agentic AI Full Stack Lead to design, develop, and deploy advanced AI solutions using Generative AI, Agentic AI frameworks, Machine Learning, and Full Stack Python development. In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models. You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.</p><p><strong>Responsibilities:</strong></p><ul><li>Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.</li><li>Proven hands-on Gen AI / Agentic AI and data science with machine learning</li><li>Strong knowledge of Python</li><li>Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.</li><li>Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure</li><li>Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.</li><li>Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.</li><li>Experience with data gathering, data quality, system architecture, coding best practices</li><li>Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).</li><li>Experience with Lean / Agile development methodologies</li><li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field</li><li>Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.</li><li>Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).</li><li>Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.</li><li>Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.</li><li>Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,</li><li>Strong understanding of LLM fine-tuning, local deployment of open source models</li><li>Proficiency in building RESTful APIs using FastAPI, Flask, or Django.</li><li>Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.</li><li>Experience with perception (e.g. computer vision), time series data (e.g. text analysis)</li><li>Data visualization tools such as Tableau, Query languages such as SQL, Hive</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field</li><li>Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.</li><li>Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.</li><li>Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).</li><li>Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.</li><li>Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.</li><li>Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.,</li><li>Strong understanding of LLM fine-tuning, local deployment of open source models</li><li>Proficiency in building RESTful APIs using FastAPI, Flask, or Django.</li><li>Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.</li><li>Experience with perception (e.g. computer vision), time series data (e.g. text analysis)</li><li>Data visualization tools such as Tableau, Query languages such as SQL, Hive</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Internal Audit Lead - Operations</strong><br><strong>Department: </strong>Internal Audit<br><strong>Employment Type: </strong>Full Time<br><strong>Location: </strong>Egypt<br><strong>Description</strong><br>The Senior Auditor - Operational Audits is responsible for delivering end-to-end audits across a broad range of business and operational processes, including enterprise risk management (ERM), third-party/vendor management, HR, marketing and other support and business functions.<br>The role focuses on independently executing risk-based audit engagements, assessing the effectiveness of governance, risk management, and internal control frameworks across less complex but diverse domains. The individual is expected to take ownership of assigned audits from planning through to reporting, while providing practical, value-added insights to improve business processes and control environments.<br>This position requires a strong foundation in internal audit methodology, good business acumen and the ability to quickly understand different processes and risks across functions.<br><strong>Key Responsibilities</strong><br><strong>Operational Audits</strong><br><ul><li>Plan, execute, and deliver end-to-end audits across a variety of operational areas, including ERM frameworks, vendor onboarding and management HR processes, marketing activities, customer care and other business functions.</li><li>Conduct risk assessments and develop audit scopes and programs using a risk-based audit approach.</li><li>Evaluate the design and operating effectiveness of internal controls, governance processes and risk management frameworks.</li><li>Identify control gaps, inefficiencies and process improvement opportunities, providing practical and actionable recommendations.</li><li>Perform walkthroughs, control testing and documentation of processes across multiple business areas.</li><li>Execute thematic reviews and cross-functional audits covering key operational risks.</li></ul><br><strong>Data-Driven Audit Process Development</strong><br><ul><li>Utilize data analytics techniques to support audit planning and execution, including identifying basic trends, anomalies and control gaps.</li><li>Extract and analyse data using tools such as SQL and Excel to support audit testing and validation.</li><li>Develop and use simple dashboards and visualizations (e.g., Power BI, Tableau) to enhance audit insights and reporting.</li><li>Apply data analysis to improve audit efficiency and support risk assessments across operational processes.</li><li>Contribute to the adoption of data-driven auditing practices, while continuously building analytics capabilities.</li></ul><br><strong>Data Analytics &amp; Cross-Functional Support</strong><br><ul><li>Perform data analytics to support other audits.</li><li>Develop audit data models, dashboards, and visualizations to identify trends, anomalies, and key risk indicators.</li><li>Collaborate with business, technology, and data teams to ensure high data quality and availability for audit purposes.</li></ul><br><strong>Reporting &amp; Communication</strong><br><ul><li>Prepare clear, concise, and high-quality audit reports, summarizing findings, risks and recommendations.</li><li>Communicate audit results effectively to process owners and management.</li><li>Track and validate remediation of audit findings to ensure timely closure.</li><li>Build effective working relationships with stakeholders across different functions.</li></ul><br><strong>Skills, Knowledge and Expertise</strong><br><ul><li>5+ years of experience in internal audit, external audit or risk/control roles, preferably within financial services, fintech or a fast-paced corporate environment</li><li>Bachelor's degree in Accounting, Finance, Business Administration or a related field.</li><li>Relevant certifications such as CIA, ACCA, CPA, or CISA (or in progress) are advantageous..</li><li>Strong understanding of internal audit methodologies, risk-based auditing and internal control frameworks (e.g., COSO).</li><li>Experience auditing operational processes across multiple functions (e.g., ERM, procurement/vendor management, HR or general business operations).</li><li>Good business acumen with the ability to quickly understand and assess new processes and risk areas.</li><li>Proficiency in data analytics and visualization tools (e.g., Excel, SQL, Power BI, Tableau, or similar) is preferred.</li><li>Strong analytical and problem-solving skills, with attention to detail.</li><li>Effective communication skills, with the ability to clearly present findings and engage with stakeholders.</li><li>Ability to manage multiple assignments, prioritise effectively, and deliver within deadlines.</li><li>Professional skepticism, integrity and a proactive mindset.</li><li>Fluency in English is a MUST.</li></ul><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <b>Line of Service</b> </p>Advisory<p> </p> <p> <b>Industry/Sector</b> </p>Technology<p> </p> <p> <b>Specialism</b> </p>Advisory - Other<p> </p> <p> <b>Management Level</b> </p>Associate<p> </p> <p> <b>Job Description &amp; Summary</b> </p>As an Associate in our Applied AI team, you will work on building and deploying AI-powered solutions that drive impact for our clients across industries. You ll collaborate with experienced engineers, data scientists, and business stakeholders to turn raw data and innovative ideas into production-ready systems. This is an opportunity to grow your machine learning and software engineering skills in a collaborative, client-focused environment.<p> </p> <p> </p> <p> <b>Responsibilities </b> </p> <ul> <li>Assist in developing and evaluating machine learning models using Python, scikit-learn, and modern frameworks like PyTorch and Hugging Face Transformers. </li> <li>Assist in developing and testing generative ai agents and applications -&gt; LangChain, LangGraph. </li> <li>Participate in the implementation of retrieval-augmented generation (RAG) pipelines leveraging vector databases. </li> <li>Support with prompt engineering, the fine-tuning of foundation models for domain-specific use cases and transfer learning techniques. </li> <li>Help generate and use synthetic data for model training, evaluation, and robustness testing. </li> <li>Work with data pipelines to preprocess, transform, and structure data for AI applications. </li> <li>Collaborate with engineers and data scientists to build backend services and APIs for deploying AI models. </li> <li>Use Git for version control and contribute to collaborative software development workflows. </li> <li>Participate in Agile development cycles, including sprint planning, daily stand-ups, and code reviews. </li> <li>Contribute to documentation, experiment tracking, and explainability efforts for AI models. </li> <li>Stay up-to-date with emerging trends in LLMs, GenAI, and responsible AI practices. </li> </ul> <p> </p> <p> <b>Required Skills &amp; Qualifications </b> </p> <ul> <li>Bachelor s degree in Computer Science, Engineering, Data Science, or a related technical field. </li> <li>Solid programming skills in Python, including use of libraries like Pandas, NumPy, and Matplotlib. </li> <li>Exposure to core machine learning concepts (e.g., regression, classification, model evaluation). </li> <li>Understanding of data manipulation, feature engineering, and model evaluation techniques. </li> <li>Understanding of how LLMs work, and familiarity with popular tools (e.g., OpenAI, Hugging Face). </li> <li>Interest in or basic experience with LangChain, vector databases, and RAG frameworks. </li> <li>Comfortable working with version control (Git), Jupyter Notebooks, and REST APIs. </li> <li>Strong communication skills and a collaborative mindset. </li> <li> </li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> <b>Preferred Skills (Nice to Have) </b> </p> <ul> <li>Hands-on experience with tools like Hugging Face Transformers, LangChain, LlamaIndex, or OpenAI API. </li> <li>Familiarity with cloud-based AI tools (e.g., AWS SageMaker, Azure AI Services, Google Vertex AI). </li> <li>Exposure to front-end technologies (e.g., streamlit, nextJS) or back-end frameworks (e.g., Flask, FastAPI). </li> <li>Experience with synthetic data generation (e.g., text simulation, data augmentation). </li> <li>Familiarity with fine-tuning techniques (e.g., LoRA, PEFT, instruction tuning), </li> <li>Coursework or personal projects involving deep learning, NLP, or generative models. </li> <li>Basic understanding of containerization (Docker). </li> <li>Familiarity with multi agent architectures. </li> </ul> <p> <br> </p> <p> <b>What We Offer </b> </p> <p>Continuous learning through hands-on experience and formal training in applied AI, MLOps, and GenAI. </p> <p>Exposure to real-world AI projects with leading clients across industries. </p> <p>Opportunities to contribute to innovative client-facing AI projects using advanced tools like LangChain and vector search. </p> <p>Mentorship from senior engineers and technical leaders. </p> <p>A collaborative environment with opportunities to explore cutting-edge technologies and innovative ideas. </p> <p> </p> <p> <b>Education </b> <i>(if blank, degree and/or field of study not specified)</i> </p>Degrees/Field of Study required:<p> </p> <p> </p>Degrees/Field of Study preferred:<p> </p> <p> <b>Certifications </b> <i>(if blank, certifications not specified)</i> </p> <p> </p> <p> <b>Required Skills</b> </p> <p> </p> <p> <b>Optional Skills</b> </p>Accepting Feedback, Accepting Feedback, Active Listening, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Emotional Regulation, Empathy, Go-to-Market Strategies, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Market Research {+ 9 more}<p> </p> <p><br></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Senior Internal Auditor</strong><br><strong>Department: </strong>Internal Audit<br><strong>Employment Type: </strong>Full Time<br><strong>Location: </strong>Egypt<br><strong>Description</strong><br>The Senior Auditor - Operational Audits is responsible for delivering end-to-end audits across a broad range of business and operational processes, including enterprise risk management (ERM), third-party/vendor management, HR, marketing and other support and business functions.<br>The role focuses on independently executing risk-based audit engagements, assessing the effectiveness of governance, risk management, and internal control frameworks across less complex but diverse domains. The individual is expected to take ownership of assigned audits from planning through to reporting, while providing practical, value-added insights to improve business processes and control environments.<br>This position requires a strong foundation in internal audit methodology, good business acumen and the ability to quickly understand different processes and risks across functions.<br><strong>Key Responsibilities</strong><br><strong>Operational Audits</strong><br><ul><li>Plan, execute, and deliver end-to-end audits across a variety of operational areas, including ERM frameworks, vendor onboarding and management HR processes, marketing activities, customer care and other business functions.</li><li>Conduct risk assessments and develop audit scopes and programs using a risk-based audit approach.</li><li>Evaluate the design and operating effectiveness of internal controls, governance processes and risk management frameworks.</li><li>Identify control gaps, inefficiencies and process improvement opportunities, providing practical and actionable recommendations.</li><li>Perform walkthroughs, control testing and documentation of processes across multiple business areas.</li><li>Execute thematic reviews and cross-functional audits covering key operational risks.</li></ul><br><strong>Data-Driven Audit Process Development</strong><br><ul><li>Utilize data analytics techniques to support audit planning and execution, including identifying basic trends, anomalies and control gaps.</li><li>Extract and analyse data using tools such as SQL and Excel to support audit testing and validation.</li><li>Develop and use simple dashboards and visualizations (e.g., Power BI, Tableau) to enhance audit insights and reporting.</li><li>Apply data analysis to improve audit efficiency and support risk assessments across operational processes.</li><li>Contribute to the adoption of data-driven auditing practices, while continuously building analytics capabilities.</li></ul><br><strong>Data Analytics &amp; Cross-Functional Support</strong><br><ul><li>Perform data analytics to support other audits.</li><li>Develop audit data models, dashboards, and visualizations to identify trends, anomalies, and key risk indicators.</li><li>Collaborate with business, technology, and data teams to ensure high data quality and availability for audit purposes.</li></ul><br><strong>Reporting &amp; Communication</strong><br><ul><li>Prepare clear, concise, and high-quality audit reports, summarizing findings, risks and recommendations.</li><li>Communicate audit results effectively to process owners and management.</li><li>Track and validate remediation of audit findings to ensure timely closure.</li><li>Build effective working relationships with stakeholders across different functions.</li></ul><br><strong>Skills, Knowledge and Expertise</strong><br><ul><li>5+ years of experience in internal audit, external audit or risk/control roles, preferably within financial services, fintech or a fast-paced corporate environment</li><li>Bachelor's degree in Accounting, Finance, Business Administration or a related field.</li><li>Relevant certifications such as CIA, ACCA, CPA, or CISA (or in progress) are advantageous..</li><li>Strong understanding of internal audit methodologies, risk-based auditing and internal control frameworks (e.g., COSO).</li><li>Experience auditing operational processes across multiple functions (e.g., ERM, procurement/vendor management, HR or general business operations).</li><li>Good business acumen with the ability to quickly understand and assess new processes and risk areas.</li><li>Proficiency in data analytics and visualization tools (e.g., Excel, SQL, Power BI, Tableau, or similar) is preferred.</li><li>Strong analytical and problem-solving skills, with attention to detail.</li><li>Effective communication skills, with the ability to clearly present findings and engage with stakeholders.</li><li>Ability to manage multiple assignments, prioritise effectively, and deliver within deadlines.</li><li>Professional skepticism, integrity and a proactive mindset.</li><li>Fluency in English is a MUST.</li></ul><br> </div>

Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.<br>Key Responsibilities: Develop and implement KPIs and performance frameworks to measure and enhance sales force effectiveness and productivity. Analyze sales performance using Power BI, Advanced Excel, CRM platforms, and IQVIA data to identify trends, gaps, and opportunities. Generate actionable, data-driven insights and recommendations to support commercial decision-making, business growth, and operational efficiency. Standardize performance reporting across regions and enhance CRM adoption through effective customer segmentation, engagement tracking, and digital touchpoints. Partner with Sales, Marketing, Finance, and Commercial leadership to optimize market coverage, resource allocation, and Sales Force Effectiveness strategies<br><br>Requirements<br><br>Bachelor's degree in pharmacy, Business, Data Analytics, or a related field. 3-5 years of experience in Sales Force Effectiveness, Commercial Excellence, Business Analytics, or a similar role, preferably within the pharmaceutical or healthcare industry. Strong analytical skills with hands-on experience in Advanced Excel, Power BI, CRM platforms, and IQVIA/IMS data. Experience in pharmaceutical sales operations, performance management, market analysis, or business intelligence. Strong communication and presentation skills, with the ability to translate complex data into clear insights and actionable business recommendations.

Role Description The Conversion Specialist is a full-time, on-site role based in Heliopolis. In this position, the specialist analyzes user behavior and performance metrics to identify opportunities to boost conversion rates across digital campaigns and web properties. Day-to-day responsibilities include setting up and monitoring A/B tests, optimizing landing pages and funnel flows, and collaborating with marketing and design teams to implement data-driven improvements. The role also involves interpreting web analytics reports, preparing performance dashboards, and translating complex data into clear, actionable recommendations. The Conversion Specialist is expected to proactively propose optimization hypotheses and work closely with stakeholders to ensure that conversion goals align with broader business objectives. Qualifications1-2 years of experience. Strong Analytical Skills and experience interpreting performance data to identify trends and opportunities. Hands-on expertise in Conversion Optimization and Data Conversion within digital marketing or e-commerce environments. Proficiency in Web Analytics tools (e.g., Google Analytics, similar platforms) and familiarity with A/B testing methodologies. Effective Communication skills, with the ability to present findings and recommendations to technical and non-technical stakeholders. Bachelor’s degree in Marketing, Business, Data Analytics, or a related field, or equivalent practical experience. Experience working with landing page builders, tag managers, and experimentation tools is highly beneficial. Detail-oriented mindset, strong problem-solving abilities, and comfort working in a fast-paced startup environment. Ability to collaborate with cross-functional teams and manage multiple optimization projects simultaneously.

Job Responsibilities:Handle and maintain large-scale datasets across hundreds of spreadsheets containing hundreds of thousands of rows of data while ensuring data integrity and consistency. Perform advanced data analysis using spreadsheet functions, queries, and reporting tools to extract meaningful insights and support business decision-making. Collaborate with internal stakeholders to gather business requirements and provide data-driven solutions that improve operational efficiency. Stay up to date with industry best practices, digital tools, and data analysis techniques to continuously improve operational performance. Prioritize and manage multiple high-volume tasks simultaneously while meeting strict deadlines in a fast-paced environment. Qualifications:+5 years of experience in the same role. Very good command of English. Excellent understanding of CMS Tricks and techniques to manage the content well. Deep understanding of copyrights rules to avoid strikes. Very good communication and soft skills. Attention to detail. Very good organizational and time-management skills. Self-motivated and results-driven. Skills: Microsoft Excel, DB, and spreadsheets expert. Musical or entertainment background is a plus. Flexibility and can work under pressure and meet deadlines. Organization skills. Efficient decision making Great negotiation and communication skills. Able to prioritize tasks effectively ensuring efficient allocation of time & resources to minimize productivity. Strong analytical and strategic planning abilities. Excellent problem-solving and decision-making skills. Attention to details and accuracy. Exceptional organizational and time-management capabilities. Focusing on reporting.

Company Description Noaat supports clients in making informed business decisions by turning data into actionable insights. The company specializes in analyzing existing data sets to guide strategic planning and performance improvement. By combining data expertise with a consultative approach, Noaat helps organizations understand their audiences, optimize operations, and identify growth opportunities. Team members collaborate closely with clients across industries, contributing to data-driven solutions that address real business challenges.<br>Requirements✔️ Previous experience as a Sales Specialist.✔️ Background in the Food & Beverage industry is a must.✔️ Strong leadership, negotiation, and communication skills.✔️ Ability to lead, motivate, and develop a high-performing sales team.✔️ Excellent analytical and reporting skills.<br>Key Responsibilities Lead and coach the sales team to achieve monthly sales targets. Monitor sales performance, KPIs, and conversion rates. Conduct weekly pipeline review meetings and support the team in closing opportunities. Approve discounts and special offers when required. Coordinate with the Marketing and Product teams to improve customer experience. Prepare monthly sales reports and performance analysis for management. Build and maintain strong relationships with clients through regular field visits. Demonstrated Sales abilities, including prospecting, negotiation, and closing deals in a business-to-business environment. Ability to work on-site in Cairo, Egypt, collaborate with cross-functional teams, and adapt in a fast-paced environment. Strong organizational skills, attention to detail, and a results-oriented approach to meeting sales targets.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role Overview<p>The XMO Analytics Data Analyst supports the Experience Management Office (XMO) by analyzing, interpreting, and visualizing data related to Digital Employee Experience. The role is responsible for transforming data from multiple sources into actionable insights, supporting Experience Level Agreements (XLAs), and enabling continuous improvement initiatives across the organization.</p><br>Key Responsibilities<ul><li>Analyze data collected through XMO processes to identify trends, patterns, risks, and improvement opportunities.</li><li>Develop, maintain, and optimize dashboards and analytical reports using tools such as Power BI.</li><li>Support the definition, measurement, and reporting of Experience Level Agreements (XLAs).</li><li>Translate business requirements and employee experience challenges into analytical use cases and reporting solutions.</li><li>Collaborate with Experience Managers, DEM Tool SMEs, and other XMO stakeholders to provide meaningful insights and recommendations.</li><li>Identify root causes and recurring issues through data analysis to support continuous improvement initiatives.</li><li>Ensure data accuracy, consistency, integrity, and quality across reports and dashboards.</li><li>Present analytical findings in a clear, concise, and business-oriented manner.</li><li>Monitor key experience metrics and proactively highlight areas requiring attention.</li><li>Support decision-making processes by providing timely and reliable analytical information.</li><li>Maintain documentation related to reports, dashboards, KPIs, and analytical methodologies.</li><li>Participate in stakeholder meetings to review performance trends and recommend improvement actions.</li></ul> </div>

<p>We are currently seeking a skilled and experienced <strong>Data Scientist </strong>to join our team. As a Data Scientist, you will be responsible for experiments with datasets searching for useful insights and features, maintaining data pipelines and training machine learning algorithms, and visualizing results.</p><h3>&nbsp;</h3><h3>Main goals and responsibilities:</h3><ul><li>Be a proactive team worker;</li><li>Collaborate with the team to implement new features to support the growing data needs;</li><li>Build, maintain, and deploy DS and ML pipelines, including data retrieval, preprocessing, feature engineering, training, and inferencing the models, analyzing and visualizing the results;</li><li>Build, maintain and deploy LLM-powered systems and agent pipelines, including prompt engineering, tool and API integration, memory and context management, inference orchestration, and evaluation of model outputs;</li><li>Share knowledge with other teams on various data science or project-related topics;</li><li>Collaborate with the team to decide on which tools and strategies to use within specific scenarios.</li></ul><h3>&nbsp;</h3><p><strong>What We Offer:</strong></p><ul><li>Long-term career stability with a competitive salary paid in USD.</li><li>Conditions for steady career development.</li><li>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</li><li>Private medical insurance provided after successful completion of the probationary period</li><li>A well-equipped and cozy office supports comfort and productivity across all project stages.</li><li>Welcoming atmosphere and a friendly corporate culture.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>JOB TITLE</strong><br>Procurement Analytics Senior Specialist | MAF Global Solutions | Global Solutions Egypt<br><strong>ROLE SUMMARY</strong><br>Support Procurement through reliable data analytics, spend analysis, savings tracking, budgeting inputs, and actionable insights that enable informed business decision-making.<br><strong>ROLE PROFILE</strong></p><br><br><ul><li>Maintain and enhance procurement reporting and analytics by managing procurement databases, ensuring data accuracy and consistency, developing Power BI dashboards, preparing reports and presentations, and supporting data cleansing.</li><li>Analyze procurement data to identify spend trends, supplier performance, savings, risks, compliance gaps, and improvement opportunities, translating findings into actionable insights for stakeholders.</li><li>Support financial planning and performance by preparing spend analysis, forecasting, budgeting, run-rate analysis, variance reporting, supplier/category cost analysis, pricing trends, inflation analysis, and cost optimization recommendations.</li><li>Track procurement performance by monitoring spend against budgets, reporting savings, cost avoidance, and value delivery initiatives, and supporting monthly performance reviews and P&amp;L discussions.</li><li>Support audit and compliance activities by preparing reports and documentation for internal and external audits, monitoring procurement policy and PO compliance, performing control self-assessments, and resolving data and compliance issues.</li><li>Contribute to strategic projects and continuous improvement by supporting procurement transformation initiatives, conducting benchmarking and performance analysis, identifying savings opportunities, and driving reporting automation.</li><li>Collaborate with Procurement, Finance, Technology, and Business teams to gather reporting requirements, validate data, deliver timely analysis, and ensure reporting outputs meet business needs.</li></ul><p><br><strong>REQUIREMENTS</strong></p><br><br><ul><li>Bachelor’s degree in Business Administration, Finance, Supply Chain, Data Analytics, or a related discipline</li><li>3 or more years of experience in procurement analytics, spend analysis, reporting, finance analytics, or business intelligence.</li><li>High attention to detail, strong data-accuracy mindset, and ability to manage multiple reporting priorities.</li><li>Good stakeholder management and coordination skills across Procurement, Finance, Technology, and Business teams.</li></ul><p><br><strong>WHAT WE OFFER</strong></p><br><br><ul><li>At Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!</li><li>Work in a friendly environment, where everyone shares positive vibes and excited about our future.</li><li>Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.</li></ul><br> <br> </div>

<p>We are looking for this position someone with an analytical mindset to join our team to work in a friendly analytics department. Here you can participate in finding insights, researching and processing large amounts of data, interacting with end-users, the business analysis of new requests, as well as demonstrating your leadership skills.</p><p></p><h3>Essential Duties and Responsibilities</h3><ul><li><p>Identify and define business needs and goals;</p></li><li><p>Design data models for the entity and pair relationship;</p></li><li><p>Interact with customer, product, and engineering teams;</p></li><li><p>Explore, analyze and process massive amounts of data, turning it into actionable business insights;</p></li><li><p>Applying business analysis and product analytics technics and approaches;</p></li><li><p>Specification of the requirements;</p></li><li><p>Build automated dashboards and reports to facilitate company-wide awareness and understanding of key metrics using different BI and analytical tools;</p></li><li><p>Perform ad hoc analytic requests to transform data into information.</p></li></ul><p></p><h3>What We Offer</h3><ul><li><p>Stable long-term cooperation and competitive compensation.</p></li><li><p>A fast and well-structured onboarding process with a dedicated mentor.</p></li><li><p>A clear career development path and access to learning programs.</p></li><li><p>Paid vacation, national public holidays, and support during religious celebrations.</p></li><li><p>A modern and comfortable office based in Smart Village, at the heart of Cairo’s tech ecosystem.</p></li><li><p>Healthy work–life balance.</p></li><li><p>A welcoming corporate culture, team support, and respectful communication.</p></li></ul><p></p><p><strong>Requirements</strong></p><h3>Qualifications</h3><ul><li><p>Master’s degree in Economics, Mathematics, Computer science, or similar;</p></li><li><p>Upper-Intermediate level of English.</p></li><li><p></p></li></ul><h3>Desired Skills</h3><ul><li><p>Experience with BI tools (Power BI, Tableau, etc.);</p></li><li><p>Experience with DBMS (PostgreSQL or others);</p></li><li><p>Experience with DWH (Snowflake, BigQuery, AWS RedShift, etc.);</p></li><li><p>Full proficiency in SQL (data modeling, queries, analytic/window functions);</p></li><li><p>Familiarity with data warehouse and ETL pipelines principles;</p></li><li><p>Advanced level of MS Excel;</p></li><li><p>Data mining and data analysis techniques;</p></li><li><p>Experience in translating business needs/requirements into technical specifications (gathering, presenting, estimating, prioritizing, etc.));</p></li><li><p>A clear understanding of the principles and specifics of software development methodologies (SDLC);</p></li><li><p>Extensive knowledge of business analysis techniques (Use case scenarios, User stories, User story mapping, Prioritization techniques, Estimation approaches, etc.)</p></li><li><p>Communication and negotiation skills to establish and maintain good working relationships with external organizations and internal customers;</p></li><li><p>Excellent time-management skills, ability to learn quickly and handle multi-tasking activities;</p></li><li><p>Git/VCS experience.</p></li></ul><p></p>

Key Responsibilities Conduct regular quality audits and assessments on German-language transactions/interactions. Analyze performance data and identify areas for process improvement. Utilize Excel and Run Charts to track performance metrics, identify trends, and visualize variations over time. Collaborate with team leads to provide constructive feedback and actionable coaching insights.(Preferred) Build or maintain Power BI dashboards to streamline quality reporting. What We Are Looking For Experience: Minimum of 6 months of experience in a Quality Assurance or data-driven analytical role. Language Skills:German: B2+ or higher (excellent written and verbal communication). English: B2 or higher (working proficiency for internal communication). Technical Skills:Strong proficiency in Microsoft Excel (data manipulation, formulas). Proven experience working with Run Charts for data trend analysis. Knowledge of Power BI is a strong plus. What We Offer We believe in taking care of our team both inside and outside the office. Here is what you can expect:Work Flexibility: A balanced hybrid work model. Health & Security: Comprehensive medical insurance coverage. Commute Made Easy: Company-provided transportation or allowance.

Company Description Freight forwarding Co., Located in Masaken Sheratoon<br>Role Description This is a full-time on-site role for a Pricing Specialist located in Masaken Sheratoon. The Pricing Specialist will be responsible for analyzing market trends and data, developing pricing strategies, and ensuring competitive pricing models. Tasks include working closely with sales and finance teams, evaluating costs, and providing recommendations to optimize revenue and profitability. The role also involves collaboration with customers to address inquiries related to pricing and presenting clear, data-driven insights for decision-making.<br>Qualifications Strong analytical skills to evaluate data, identify trends, and develop pricing strategies Excellent communication skills to collaborate with internal teams and effectively interact with customers Knowledge and experience in finance and sales to support pricing decisions Customer service skills to address inquiries and maintain positive client relationships Proficiency in Excel and data analysis tools is a plus Bachelor’s degree in Business, Finance, Economics, or a related field is preferred Previous experience in pricing, analytics, or a similar field is preferred

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description NielsenIQ Customer Success Team is a modern service team transforming the way we serve our clients with top-notch tools. We are the team that partners with clients to fuse data, science, and the talents of our people to provide actionable insights to the clients and in markets we serve. We are the key link between NIQ and clients. Our service and delivery is the reason clients will continue to invest in our products and service. As part of the Industry Insights team, you will be executing projects with limited supervision by compiling, analyzing, and interpreting sales data, writing client reports, and constructing presentations. You will also be managing the client relationship for Accounts you own.</p><p>Responsibilities</p><ul><li>Summarize data in tables, charts, and graphs</li><li>Analyze and interpret sales data and retail audit data</li><li>Draft reports and presentations (category overview as well as issue based) building a story and finalizing conclusions and proposes recommendations</li><li>Review data for errors and inconsistencies</li><li>Use internal tools and data sources</li><li>Prepare client correspondence</li><li>Attend client meetings and presentations over the phone, virtually and in person</li><li>Discuss analysis design to best answer client questions with Client Business Partner/client with the support of Senior team members</li><li>Propose calculation of Quantified Business Opportunity</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>About you You ll be able to execute projects with limited supervision by compiling, analyzing, and interpreting sales data, writing client reports, and constructing presentations.</p><p>Qualifications</p><ul><li>Good understanding of FMCG industry and trends</li><li>0-2 years of experience in Analytics and/or industry experience</li><li>Good interpersonal skills ability to develop relationships internally and at the client organization</li><li>Strong analytical and conceptual thinking skills. Comfortable in dealing with numbers</li><li>Able to deliver analyses of moderate complexity with almost zero supervision</li><li>Able to deliver higher complexity analyses with limited supervision</li><li>Good presentation skills and ability to deliver an end to end story in a presentation</li><li>Strong levels of clients satisfaction achieved, acknowledgement from the client on a strong mindset to help them, as well as of the results per se</li></ul><p>Desirable:</p><ul><li>Solid Knowledge of Nielsen products and services</li><li>Desirable: Project Management experience</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><br></div> <div> <div><b> Job Responsibilities: </b><div> <div> <ul> <li>Build AI-powered systems using NLP, LLMs, and agentic workflows</li> <li>Develop NLP solutions for tasks such as text classification, entity extraction, intent detection, summarization, and sentiment analysis</li> <li>Design and implement agentic AI systems that reason over conversations, historical data, and business rules</li> <li>Apply traditional machine learning techniques for prediction, classification, and optimization</li> <li>Use operations research techniques (optimization, heuristics, simulations) to support logistics and operational decision-making</li> <li>Collaborate with product, engineering, operations, and commercial teams to translate business problems into data science solutions</li> <li>Build end-to-end pipelines: data ingestion, feature engineering, modeling, evaluation, deployment, and monitoring</li> <li>Deploy models and AI services to production using cloud platforms and modern MLOps practices</li> </ul> <div> </div> </div> </div> </div> </div> <div> <div><b> Job Qualifications: </b><div> <div> <ul> <li>1 3 years of experience in Data Science, Machine Learning, or applied AI roles</li> <li>Strong foundation in data science and statistics</li> <li>Solid experience with traditional machine learning (e.g., regression, tree-based models, clustering, time series)</li> <li>Strong Python skills and familiarity with common ML/NLP libraries (scikit-learn, spaCy, NLTK, Hugging Face, etc.)</li> <li>Understanding of software engineering fundamentals (APIs, version control, testing)</li> <li>Hands-on knowledge of NLP:Text preprocessing and feature extractionClassical NLP models and modern embeddingsExperience with tasks like classification, NER, topic modeling, or text similarityExperience working with LLMs for NLP tasks (prompting, fine-tuning or adaptation, chaining, tool usage)</li> </ul> </div> </div> </div> </div> <div> <div> Preferred Qualifications <div> <div> <ul> <li>ITI Data Science track graduate (or equivalent technical training or post-graduate studies)</li> <li>Knowledge of Operations Research (optimization, routing, scheduling, simulations)</li> <li>Experience with cloud computing (AWS, GCP, or Azure)</li> <li>Familiarity with model deployment and MLOps practices (Docker, CI/CD, monitoring)</li> <li>Experience building agentic AI or multi-step NLP systems</li> <li>Exposure to Arabic and multilingual NLP is a plus</li> <li>Experience with vector databases, retrieval systems, or RAG pipelines</li> <li>Familiarity with conversational AI or chat-based systems</li> <li>Background in logistics, marketplaces, or large-scale operations</li> </ul> <div> </div> </div> </div> </div> </div> <div> <div> Why Join the Data Science Team at Bosta? <div> <div> <ul> <li>Build high-impact AI, ML and Decision Support systems used daily by operations and commercial teams</li> <li>Work on real production use cases, not just experiments</li> <li>Grow your skills in AI and Data Science.</li> <li><br></li></ul></div></div></div></div><div> </div></div></section>

A GLIMPSE ABOUT CRÉDIT AGRICOLE EGYPT:<br>Crédit Agricole Egypt Since its launch in 2006, Crédit Agricole Egypt has succeeded to become a strong player on the economic scene, positioning itself as the Reference European Bank in Egypt. Aiming to become a leading innovation-driven sustainable bank, Crédit Agricole Egypt is committed to bring its international expertise to the local market to serve its clients and drive the sustainable development in line with Egypt’s national priorities. With a universal customer-focused model, Crédit Agricole Egypt is “a whole bank just for you” serving the entire spectrum of customers: individuals, SMEs, enterprises, Corporate and public sector. Prioritizing its customers’ best interests, Crédit Agricole Egypt presents an extensive range of services, tailored financial solutions and the sound advice, to accompany its clients in their walk of life. Awarded most innovative bank in Egypt, convenience and distinguished customer experience is Crédit Agricole Egypt’s endeavor to attain its customers’ satisfaction throughout its nationwide network of branches and its state-of-the-art fully-fledged platform of digital services. Furthermore, Crédit Agricole Egypt is in line with the world’s digital transformation, encouraging and implementing an innovative environment to exceed its customers’ expectations. In addition, for being an active contributor to the local economy, the bank is committed to support the development of the Egyptian community and the respect of the environment.<br><br>Duties & Responsibilities:<br>Deliver daily and weekly performance reporting and analytics of the line of business for a range of business requirements focused on the key drivers of value. Transformation of manual reports and dashboards to be automated and presented in dynamic form. Provide reliable, timely data and information together from a range of sources and provide thorough analysis, insights, and options to enable the Corporate Business Head to make sound business decisions. Monitor and analyze the outstanding balances and compare them to the budget to highlight variances and performance. Preparation of the monthly, quarterly and annual portfolio business review presentation for business review meetings and relevant material for other meetings including but not limited to: extracting data from various sources, constant communication with other supporting units to obtain relevant information, preparation of data analysis, tables, graphs, and circulation of the presentation for review and final management approval. Actively participate in line of business initiatives and projects as required. Provide deep analysis of gaps to come up with proposed solutions and recommendations to the business head to enhance performance. Prepare incentives/scorecards for our business partners. Support different business teams with problem-solving and decision support data and tools in addition to KPI’s follow-up tools. Provide updates on regulatory changes and ensure all policies comply with CBE regulations and legislative requirements.<br><br>Qualifications Requirements:<br>3–5 years of banking experience, with a minimum of 2 years in corporate banking Credit Certificate is highly preferred Strong background in data analysis and performance reporting. Proven experience as an Analytics or Data Scientist Advanced knowledge of Microsoft Office, particularly advanced Excel Advanced proficiency in Power BI and data modeling. Strong presentation and communication skills Awareness or basic knowledge of R, Python and SQL; familiarity with business intelligence tools (e.g. DWH, SAS, Data Mining) High analytical and problem-solving skills. Familiarity with data science concepts is a plus.