BIE engineer- UAE National – Amazon

This Business Intelligence Engineer role sits inside Amazon’s Ultra-Fast Grocery team in Dubai, the group responsible for keeping same-day and rapid grocery delivery running on time and on budget across the UAE. The position is part of Amazon’s Emiratisation hiring track, aimed at UAE Nationals building a long-term analytics career inside one of the region’s largest e-commerce operations.

Day to day, the engineer builds and maintains the reports and dashboards that feed weekly business reviews for the Ultra-Fast Grocery leadership team, turning raw operational data — order volumes, delivery timing, stock availability — into numbers people can act on. A large part of the job is automation: replacing manual spreadsheet pulls with repeatable, scheduled reporting so the team spends its time interpreting data rather than assembling it. That means writing and maintaining SQL queries against large operational datasets, building dashboards in Amazon’s internal BI tooling, and partnering with operations, finance, and category managers to understand what they actually need to see.

It suits someone who is comfortable in ambiguity, enjoys translating a vague business question into a clean, reliable report, and wants exposure to how a hyper-scale retailer actually runs its grocery logistics day to day. It’s a strong entry or early-career point for someone who wants to build real depth in SQL, data pipelines, and business analytics inside a company operating at Amazon’s scale.

Ultra-Fast Grocery only works if the numbers behind it are trustworthy. Every weekly business review depends on this role's reporting to know whether delivery promises are being kept, where stock is running thin, and which parts of the operation are quietly costing money. Get the dashboards wrong or late, and leadership is making calls on stale information in a business where a few hours of delay changes customer experience. Get the automation right, and the team stops burning hours rebuilding the same spreadsheet every week and starts spending that time actually fixing problems. Over time, the reporting this engineer builds becomes the shared source of truth that operations, category, and finance teams all reference when they disagree about what's actually happening on the ground — which is a bigger deal than it sounds, because most operational arguments inside a fast-moving grocery business are really arguments about whose numbers are right. Reliable, well-automated BI is what lets Ultra-Fast Grocery scale without scaling its headcount at the same rate.

Joining Amazon as a Business Intelligence Engineer on the Ultra-Fast Grocery team is a genuinely useful place to build a data career, because it forces fluency in the full loop: writing the SQL, building the dashboard, and then standing in front of stakeholders defending what the numbers mean. That combination — technical skill plus business communication — is exactly what separates a junior analyst from someone who gets pulled into strategy conversations. The datasets involved are large and messy in the ways real retail data actually is, which is a far better training ground than clean sample data from a course. Because it sits on Amazon's UAE Nationals hiring track, there's a structured path for growth within the company, with visibility into how a global operations and analytics organisation is run and access to Amazon's internal tooling, training, and mentorship for people building a long-term data career. Skills built here — SQL, dashboarding, stakeholder reporting, and workflow automation — transfer directly to data analyst, BI, or data engineering roles anywhere in tech or retail, and the Amazon name on a CV opens doors on its own. For someone early in an analytics career, it's a rare chance to work on problems with real operational stakes rather than theoretical ones, inside a team that reviews its own numbers every single week.

• Strong working knowledge of SQL for querying and joining large operational datasets
• Experience building dashboards and reports (e.g. QuickSight, Tableau, Power BI, or similar BI tooling)
• Comfort with Excel or Python for data cleaning and light automation
• Bachelor’s degree in a quantitative field such as statistics, engineering, computer science, or business analytics
• Clear written and verbal communication for presenting findings to non-technical stakeholders
• Ability to work with retail, logistics, or e-commerce operational data is a plus
• Eligible for Amazon’s UAE Nationals (Emiratisation) hiring track