Senior Business Analyst Analytics, Automation & AI

Client of NOK for Human Capital; United Arab Emirates; Hybrid; AED 240,000 - 420,000; Full time

Job summary

Amazon Now MENA is seeking a Senior Business Analyst for Analytics, Automation & AI to scale analytics, automation, and AI capabilities across UAE, Saudi Arabia, and Egypt. The role blends strategic business analysis with hands-on development, owning datasets, reporting systems, automated pipelines, AI-enabled workflows, and web analytics applications.

The candidate will translate complex business challenges into scalable end-to-end technical solutions that support real-time decision-making,

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, BI 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.

Responsibilities

• Data Foundation and Analytics Design: build and maintain core data tables, data marts and standardized metric definitions across regions.
• Automation and AI Engineering: design and develop automated data pipelines and AI-enabled workflows.
• Analytics Applications: develop React-based analytics applications and integrate supporting backend services.
• Business Enablement: translate business requirements into technical solutions and enable self-service analytics.
• Partner with business and technology teams to identify opportunities for operational and analytical improvement.

Skills

SQL

Python

BI tools

English

Stakeholder mgmt

Data modeling

Education

Bachelor's degree

Tools

Tableau

Power BI

Amazon QuickSight

AWS SageMaker

Job description

Job Description 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.