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data analyst amet central data analytics team

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
 </li>
 <li>
 Designing of queries, compiling of data, and generation of reports in SQL
 </li>
 <li>
 Charting and graphing of data for reporting purposes
 </li>
 <li>
 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
 </li>
 <li>
 Develop automation solution for analysis (python)
 </li>
 <li>
 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
 </li>
 <li>
 Supporting leadership team how to interpret data trends as needed
 </li>
 <li>
 In depth research of defect trends
 </li>
 <li>
 Present analysis in easily digestible standard reports
 </li>
 <li>
 Support to ICQA &amp; Learning Team Projects
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Experience communicating clearly and effectively with different functional groups including senior business leaders, finance, HR and developers
 </li>
 <li>
 Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations
 </li>
 <li>
 Experience translating customer needs into business requirements
 </li>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3176702
</div>

Data Analyst, AMET Central Data Analytics team

<div>
 
 Description
 
 
 
 AMET Supply Chain team is looking for a motivated, experienced and talented Senior Supply Chain Program Manager. You will contribute to build the future of Amazon by analyzing and solving the increasingly complex Supply Chain problems faced by the region and interfacing with Operations, Transportation and Amazon Store teams, you will be in charge of improving customer experience and inventory management in a growing environment.
 
 
 The successful candidates will be a data detective with strong analysis skills, prioritize well, communicate clearly and have a consistent track record of delivery. You must have the experience and capability to create and present documentation for senior executives and align your roadmap with Amazon&rsquo;s strategic objectives. Excellent written and verbal communication skills are essential. You should be experienced in working with data to analyze root causes, implementing long-term solutions and solving supply chain problems through advanced analytical capabilities.
 
 
 Key job responsibilities
 
 
 Create roadmaps for project implementation and brief various teams on requirements
 
 
 Set measurable milestones for projects as well as continuous goal setting for ongoing programmes
 
 
 Collect and analyse data to drive project decisions and provide business insights
 
 
 Run meetings with partner teams to track progress, implement new initiatives, and improve existing programmes
 
 
 Document standards for projects and ensure compliance
 
 
 Manage internal and external stakeholders
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of program or project management experience
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in requirement gathering and ability to write clear and detailed requirement document
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3128947
</div>

Inbound Placement Program Manager, AMET - Supply Chain

<div>
 
 Description
 
 
 
 AMET Supply Chain team is looking for a motivated, experienced and talented Senior Supply Chain Program Manager. You will contribute to build the future of Amazon by analyzing and solving the increasingly complex Supply Chain problems faced by the region and interfacing with Operations, Transportation and Amazon Store teams, you will be in charge of improving customer experience and inventory management in a growing environment.
 
 
 The successful candidates will be a data detective with strong analysis skills, prioritize well, communicate clearly and have a consistent track record of delivery. You must have the experience and capability to create and present documentation for senior executives and align your roadmap with Amazon&rsquo;s strategic objectives. Excellent written and verbal communication skills are essential. You should be experienced in working with data to analyze root causes, implementing long-term solutions and solving supply chain problems through advanced analytical capabilities.
 
 
 Key job responsibilities
 
 
 Create roadmaps for project implementation and brief various teams on requirements
 
 
 Set measurable milestones for projects as well as continuous goal setting for ongoing programmes
 
 
 Collect and analyse data to drive project decisions and provide business insights
 
 
 Run meetings with partner teams to track progress, implement new initiatives, and improve existing programmes
 
 
 Document standards for projects and ensure compliance
 
 
 Manage internal and external stakeholders
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of program or project management experience
 </li>
 <li>
 Master's degree, or a Bachelor's degree and experience with various machine learning techniques and parameters that affect their performance
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of Lean principles and DMAIC methodology
 </li>
 <li>
 Experience with coding to improve efficiency
 </li>
 <li>
 Experience in requirement gathering and ability to write clear and detailed requirement document
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3119008
</div>

Inbound Placement Manager, AMET - Supply Chain

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new " Date Architect Senior Manager".
 
 
 
 
 
 
 Job purpose:
 
 
 
 A highly skilled Data Architect to design and lead the development of scalable, secure, and high-performance data platforms across the enterprise. This role is central to shaping the data ecosystem supporting our Fintech services&mdash;including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics.
 
 
 
 
 
 Data Architect will work across engineering, analytics, and product teams to build modern data infrastructure incorporating Big Data platforms, data lakes, ELT/ETL pipelines, and data warehouses. Your solutions must ensure high availability, governance, security, and performance&mdash;compliant with SAMA and other regulatory frameworks.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Data Architecture Design:
 
 </li>
 <li>
 Lead the end-to-end architecture of enterprise data platforms including Data Lakes, Lakehouse, and Data Warehouses.
 </li>
 <li>
 Design and maintain canonical data models (conceptual, logical, and physical) for structured, semi-structured (JSON, XML), and unstructured data.
 </li>
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 Develop architectural blueprints for hybrid and cloud-native solutions leveraging AWS, Azure, or GCP.
 </li>
 <li>
 Standardize data ingestion, transformation, and serving layers for streaming and batch use cases.
 </li>
 <li>
 
 Big Data &amp; Distributed Systems Engineering:
 
 </li>
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 Architect Big Data processing solutions using Apache Spark, Flink, Presto, Trino, or Databricks for large-scale processing of financial and behavioral data.
 </li>
 <li>
 Implement distributed file systems (e.g., HDFS, S3, ADLS) and optimize file formats like Parquet, ORC, and Avro.
 </li>
 <li>
 Ensure scalable compute using EMR, Dataproc, or AKS/Kubernetes-based platforms.
 </li>
 <li>
 
 Data Lakes and Lakehouse Architecture:
 
 </li>
 <li>
 Design and operationalize data lakes as central repositories for raw and curated data assets.
 </li>
 <li>
 Build Delta Lake, Apache Hudi, or Iceberg-based architectures to support ACID transactions, schema evolution, and time travel.
 </li>
 <li>
 Define governance standards across raw, staged, curated, and analytics layers of the lake architecture.
 </li>
 <li>
 
 ELT/ETL Frameworks &amp; Pipelines:
 
 </li>
 <li>
 Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect.
 </li>
 <li>
 Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/Scala/Python).
 </li>
 <li>
 Ensure orchestration of dependencies, retries, alerting, and logging in a fully observable pipeline ecosystem.
 </li>
 <li>
 
 Data Warehousing &amp; BI Integration:
 
 </li>
 <li>
 Architect cloud-based data warehouses such as Snowflake, BigQuery, Redshift, or Synapse Analytics.
 </li>
 <li>
 Define dimensional models (Star, Snowflake), facts/dimensions, and materialized views optimized for analytics and dashboarding tools (e.g., Power BI, Tableau, Looker).
 </li>
 <li>
 Enable self-service analytics by integrating semantic layers, metadata management, and data cataloging tools.
 </li>
 <li>
 
 Security, Governance &amp; Compliance:
 
 </li>
 <li>
 Implement data encryption (at-rest/in-transit), tokenization, and row/column-level security mechanisms.
 </li>
 <li>
 Define and enforce data governance policies, including data lineage, classification, and auditing aligned with SAMA, NCA, GDPR, and internal policies.
 </li>
 <li>
 Integrate with data catalogs (e.g., Alation, DataHub, Apache Atlas) and governance tools.
 </li>
 <li>
 
 DevOps &amp; Observability:
 
 </li>
 <li>
 Support CI/CD for data pipelines and infrastructure as code using Terraform, CloudFormation, or Pulumi.
 </li>
 </ul>
 
 Implement observability practices via data quality checks, SLAs/SLIs, and monitoring tools like Prometheus, Grafana, or Datadog.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, or a related technical field.
 </li>
 <li>
 
 8+ years of experience
 
 in data architecture, with significant contributions to production-grade data systems.
 </li>
 <li>
 Proven track record in designing and deploying
 
 petabyte-scale data infrastructure
 
 in
 
 Fintech
 
 ,
 
 Banking
 
 , or
 
 RegTech
 
 environments.
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

Data Architect Senior Manager

<div>
 
 Position Overview
 
 
 The AI Product Business Analyst acts as the strategic link between business needs and AI-enabled solutions within the TP.ai FAB ecosystem.
 
 
 This role supports the design, delivery, and optimization of AI-powered products by gathering requirements, analyzing data, and translating insights into actionable recommendations for engineering, data, and product teams.
 
 
 Focused on business value, explainability, and ethical compliance, the Analyst ensures that AI features and models deliver measurable impact while maintaining human-centered design principles.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 &bull; Business Requirement Gathering &amp; Analysis
 
 
 &middot; Collaborate with stakeholders to capture detailed business needs and translate them into functional and non-functional requirements.
 
 
 &middot; Identify opportunities to embed AI capabilities &mdash; including automation, predictive analytics, conversational AI, and generative features &mdash; into digital products and business workflows.
 
 
 &middot; Document and maintain end-to-end process and data flows connecting AI agents, APIs, and human users.
 
 
 &bull; Data-Driven Insight &amp; Solution Definition
 
 
 &middot; Analyze business and operational data to uncover trends, patterns, and improvement opportunities.
 
 
 &middot; Support data scientists and engineers by aligning model outputs with real-world business objectives.
 
 
 &middot; Assist in defining and tracking AI success metrics (accuracy, precision, automation rate, confidence thresholds, etc.).
 
 
 &bull; Process Optimization &amp; Modeling
 
 
 &middot; Map existing workflows, identify bottlenecks, and recommend automation or process redesign.
 
 
 &middot; Develop current-state and future-state business process models using standardized frameworks.
 
 
 &middot; Propose solutions that optimize value, cost efficiency, and user experience while maintaining ethical AI practices.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &middot; Act as a liaison between Product, Engineering, Data Science, and Operations to ensure clarity and alignment.
 
 
 &middot; Participate in agile ceremonies &mdash; grooming, sprint planning, and retrospectives &mdash; to ensure delivery consistency.
 
 
 &middot; Lead stakeholder workshops and feedback sessions to validate requirements and refine priorities.
 
 
 &bull; Testing, Documentation &amp; Continuous Improvement
 
 
 &middot; Participate in UAT (User Acceptance Testing) and validation of AI-enabled features.
 
 
 &middot; Maintain comprehensive documentation (Business Requirement Documents, User Stories, and Functional Specs).
 
 
 &middot; Track performance post-deployment and recommend iterative improvements based on feedback and analytics.
 
 
 &bull; Ethical &amp; Responsible AI Awareness
 
 
 &middot; Support prompt testing, explainability validation, and bias detection in AI outputs.
 
 
 &middot; Ensure product features adhere to Responsible AI, privacy, and data governance principles.
 
 
 &middot; Balance automation efficiency with human oversight and transparency across all product interactions.
 
 
 
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 Educational Background
 
 
 &middot; Bachelor&rsquo;s degree in Business Administration, Computer Science, Information Systems, Engineering, or a related field.
 
 
 &middot; Certifications in AI Product Management, Data Analytics, or Agile Product Ownership are preferred.
 
 
 
 
 
 Experience
 
 
 &middot; 2&ndash;5 years of experience in Business Analysis, Product Management, or Product Operations roles within digital or technology environments.
 
 
 &middot; Proven ability to support the end-to-end product lifecycle &mdash; from discovery and requirements gathering to deployment and optimization.
 
 
 &middot; Experience collaborating with Product, Engineering, Data Science, and UX teams in global, matrixed organizations.
 
 
 &middot; Exposure to AI-powered or data-driven products (e.g., conversational AI, predictive models, or automation platforms).
 
 
 
 
 
 Technical Skills
 
 
 &middot; Working knowledge of AI technologies (NLP, ML, LLMs, computer vision).
 
 
 &middot; Familiarity with AI platforms (Azure AI, OpenAI, Vertex AI, or equivalent).
 
 
 &middot; Understanding of data analytics fundamentals and business intelligence tools (Power BI, SQL, or similar).
 
 
 &middot; Exposure to prompt engineering, AI product testing, and AI evaluation metrics.
 
 
 &middot; Knowledge of ethical AI principles, bias mitigation, and compliance standards.
 
 
 
 
 
 
 
 
 Soft Skills &amp; Other Requirements
 
 
 &middot; Analytical, curious, and detail-oriented problem solver.
 
 
 &middot; Strong communication skills &mdash; able to bridge business and technical language fluently.
 
 
 &middot; Collaborative and adaptable in agile, cross-functional settings.
 
 
 &middot; Balances human judgment with data-driven insights.
 
 
 &middot; Ethical, empathetic, and user-focused mindset with commitment to responsible AI.
 
</div>

AI Product Business Analyst

Henkel

<div>
 
 About this Position
 
 The position is part of the Global Business Solution in Cairo (GBS+ Cairo), in the Market Data Solutions Process specifically handling the operation of Reporting &amp; Advanced Data Analyst.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Execute market, client, and customer reporting, and perform data analysis across key business areas such as market share, brand performance, sales effectiveness, promotions, and pricing.
 </li>
 <li>
 Perform data extraction, processing, and transformation to support reporting and analytics solutions using Excel, VBA, Power Query, KNIME, and Python, sourcing data from multiple systems while ensuring accuracy, quality, and consistency.
 </li>
 <li>
 Design and build data models following best-practice methodologies (e.g., Star Schema, Snowflake Schema).
 </li>
 <li>
 Develop and maintain dashboards and reports using Excel and Power BI, integrating existing and new data sources to deliver clear, actionable insights to stakeholders.
 </li>
 <li>
 Support data preprocessing, analysis, and validation activities to ensure reliable outputs.
 </li>
 <li>
 Participate in projects related to system enhancements, reporting automation, and process improvement initiatives.
 </li>
 <li>
 Proactively share knowledge within the team and contribute to continuous improvement of analytics practices.
 </li>
 <li>
 Support the team in building, optimizing, and troubleshooting Power BI reports and dashboards, including handling large and complex datasets
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Informatics, Information Systems, Computer Science, or a related field.
 </li>
 <li>
 2&ndash;4 years of relevant experience in data analysis, business analysis, or reporting roles.
 </li>
 <li>
 Fluent in English (written and spoken).
 </li>
 <li>
 Advanced proficiency in Microsoft Office, especially Excel (advanced functions, Power Query, VBA) and PowerPoint.
 </li>
 <li>
 Strong expertise in Power BI, including DAX and data modeling.
 </li>
 <li>
 Solid foundation in databases and data concepts.
 </li>
 <li>
 Preferred experience or knowledge of SQL, Python, KNIME, and/or Alteryx.
 </li>
 <li>
 Strong analytical thinking, problem-solving skills, and the ability to translate data into meaningful business insights.
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Global wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
 
 
</div>

Reporting & Advanced Analytics Analyst

Explore 962+ Data analyst amet central data analytics team in Cairo this March. Find roles across top companies and apply now to boost your career.

962 data analyst amet central data analytics team jobs In Cairo

Data Analyst, AMET Central Data Analytics team

Data Analyst, AMET Central Data Analytics team

Inbound Placement Program Manager, AMET - Supply Chain

Inbound Placement Manager, AMET - Supply Chain

Data Architect Senior Manager

AI Product Business Analyst

Reporting & Advanced Analytics Analyst