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Open nowFirst seen 5 days ago

Senior Business Analyst – Analytics, Automation & AI

Nok Human Capital128 open roles

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Your applicationOpen nowSenior Business Analyst – Analytics, Automation & AINok Human Capital

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Nok Human Capital postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

Nok Human Capital median: 1 days open

The posting

About Amazon Now MENA

Amazon Now operates across the UAE, Kingdom of Saudi Arabia, and Egypt, delivering fast and customer-focused commerce solutions. The organization uses advanced analytics, automation, and technology to support operational excellence and scalable growth across the MENA region.

Job Summary

Amazon Now MENA is seeking a highly capable Senior Business Analyst – Analytics, Automation & AI to build and scale its analytics and automation capabilities across the UAE, Saudi Arabia, and Egypt.

This hybrid role combines strategic business analysis with hands-on technical development. The successful candidate will own critical datasets, metrics, reporting systems, automated data pipelines, AI-enabled workflows, and web-based analytics applications. The position requires someone who can independently translate complex and ambiguous business challenges into scalable, end-to-end technical solutions that support real-time decision-making.

Key Responsibilities

Data Foundation and Analytics

  • Design, build, and maintain core data tables, data marts, and standardized metric definitions across multiple regions.
  • Establish well-governed and scalable data models that support business growth.
  • Retrieve, analyze, and model large datasets using SQL, Python, and business intelligence tools.
  • Develop reports and analytical solutions using Tableau, Power BI, or Amazon QuickSight.
  • Monitor business-as-usual operations and major event performance.
  • Deliver actionable insights across Marketing, Profitability, Supply Chain, Inventory, In-Stock Performance, Operations, Delivery Experience, Voice of Customer, and Topline Performance.
  • Act as a trusted analytical advisor to business leaders and relevant stakeholders.

Automation and AI Engineering

  • Design and develop automated data pipelines covering data ingestion, transformation, validation, and publishing.
  • Build production-grade automation solutions using Python and relevant cloud services.
  • Develop AI agents and LLM-powered workflows for classification, root-cause analysis, anomaly detection, and automated insight generation.
  • Integrate foundation models through AWS Bedrock or similar platforms.
  • Develop reusable automation modules for forecasting, alerting, and diagnostic analysis.
  • Integrate automated solutions into existing business processes to reduce repetitive and manual work.
  • Ensure that automation and AI solutions are scalable, reliable, and properly documented.

Analytics Applications

  • Develop React-based analytics applications that provide interactive, self-service analytical capabilities.
  • Build and integrate the supporting backend services, including APIs, serverless functions, and query layers.
  • Replace static dashboards and manual reporting processes with scalable, application-based analytics tools.
  • Build user-friendly analytical interfaces that support operational and leadership decision-making.
  • Manage the complete development process, from data ingestion to the final user interface.

Business Enablement

  • Partner with business and technology teams to identify opportunities for operational and analytical improvement.
  • Translate ambiguous business requirements into clear technical solutions and implementation plans.
  • Deliver end-to-end solutions with minimal supervision.
  • Convert AI-generated insights into repeatable business processes and decision-making mechanisms.
  • Enable self-service analytics by developing scalable data products, tools, and applications.
  • Support stakeholder adoption of newly developed analytics and automation solutions.

Basic Qualifications

  • Bachelor's degree in Computer Science, Data Science, Data Analytics, Business, Engineering, or a related field.
  • At least 3 years of experience in business analytics, data analytics, business intelligence engineering, data engineering, or a comparable role.
  • Advanced SQL skills with experience querying and modelling large datasets.
  • Strong Python skills, including experience developing production-grade pipelines and automation solutions.
  • Strong experience with at least one BI tool, such as Tableau, Power BI, or Amazon QuickSight.
  • Demonstrated ability to engage stakeholders independently, define project scope, and deliver end-to-end technical solutions.
  • Ability to work with ambiguous business requirements and convert them into scalable solutions.
  • Strong written and spoken English communication skills.
  • Excellent analytical, problem-solving, and stakeholder-management abilities.

Preferred Qualifications

  • At least 5 years of experience in analytics or data-related roles, including automation or data-product development.
  • Experience developing applications using React or another modern frontend framework.
  • Practical exposure to artificial intelligence, machine learning, and large language models.
  • Experience with foundation-model integration, prompt engineering, retrieval-augmented generation, or AI tool use.
  • Experience with AWS services, including Bedrock, SageMaker, Lambda, Step Functions, Glue, and S3.
  • Experience developing production-grade scheduled or event-driven workflows using Airflow, cron, or Amazon EventBridge.
  • Familiarity with data warehouses and distributed data-processing technologies, including Redshift, Athena, Spark, or similar tools.
  • Understanding of business domains such as supply chain, inventory, in-stock performance, operations, marketing, delivery experience, customer analytics, or topline performance.
  • MBA or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.

Working Conditions and Benefits

  • Entity: Amazon Now MENA
  • Coverage: UAE, Saudi Arabia, and Egypt
  • Work mode: Hybrid
  • Employment type: One-year contract
  • Monthly salary: Up to EGP 70,000 net
  • Job level: Senior Individual Contributor
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