Amazon
Value Recovery Data Analyst
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 03/04/2026
Job overview
Date posted
17/02/2026
Location
Dubai, United Arab Emirates
Salary
AED 15,000 - 20,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
03/04/2026
Job description
The Value Recovery Data Analyst plays a critical role within Amazon Worldwide Operations, supporting the RoW Value Recovery team in driving data-driven decision-making and operational excellence. This position focuses on developing scalable reporting systems, automating analytics processes, and enabling leadership visibility into performance metrics and expansion initiatives. The analyst partners closely with operations and business leaders to translate complex datasets into actionable insights, helping integrate new countries and acquisitions into existing programs while maintaining a world-class customer experience. The role requires strong analytical capability, business acumen, stakeholder management skills, and the ability to work independently in a fast-paced, global environment.
Required skills
Key responsibilities
- Own the end-to-end development, enhancement, and maintenance of analytical dashboards and reporting tools that track operational performance and value recovery metrics.
- Analyze complex business requirements and translate them into scalable reporting solutions and KPI frameworks aligned with organizational objectives.
- Retrieve, clean, aggregate, and validate large datasets from multiple internal systems to generate reliable and actionable insights.
- Partner with operations and business stakeholders to define metrics, develop automated reporting mechanisms, and implement process optimization initiatives.
- Design and maintain automated data pipelines, user-friendly dashboards, and reporting systems that improve visibility into operational performance.
- Enable effective executive decision-making by presenting data in clear, concise, and impactful formats tailored to senior leadership audiences.
- Prepare and deliver business requirement reviews, highlighting progress, performance trends, risks, and roadblocks to senior management.
- Support global expansion initiatives by building structured analytical processes for onboarding new countries and integrating acquisitions.
- Participate in both strategic and tactical planning discussions, providing data-driven recommendations to influence business decisions.
- Conduct root cause analysis on operational variances, identifying improvement opportunities and proposing corrective actions.
- Drive continuous improvement by identifying inefficiencies in reporting workflows and implementing automation to enhance scalability and accuracy.
- Collaborate cross-functionally with operations, finance, and technology teams to align reporting standards and ensure data integrity.
- Ensure data governance best practices are followed, maintaining accuracy, consistency, and reliability across reporting systems.
Experience & skills
- Bachelor’s degree or higher in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science, or a related quantitative field.
- Strong proficiency in SQL for data extraction, manipulation, and analysis.
- Demonstrated experience developing dashboards and automated reporting solutions.
- Proven analytical and problem-solving skills with the ability to interpret complex datasets and derive meaningful insights.
- Experience working cross-functionally with operations or business teams to define KPIs and implement reporting frameworks.
- Strong attention to detail and organizational skills, with the ability to manage multiple priorities simultaneously.
- Ability to communicate analytical findings effectively to both technical and non-technical stakeholders.
- Experience in e-commerce, retail, advertising, or operations environments (preferred).
- Demonstrated ability to independently own projects, manage timelines, and deliver results in dynamic environments.
- Strong business acumen and ability to align analytical outputs with customer-focused outcomes.