Amazon Commits $400 Million to Eastern Oregon Water Projects
Sep 21, 2026
This Business Intelligence Engineer role supports Amazon’s Ultra-Fast Grocery team, an entry-level (UAE National) position focused on the reporting and dashboarding infrastructure that the business relies on for its weekly business reviews. Ultra-Fast Grocery is a high-velocity part of Amazon’s retail business, and its leadership reviews performance frequently and in detail — which makes accurate, timely, well-built reporting a genuinely load-bearing part of how the business operates.
Day to day, the role centers on building and maintaining reports and dashboards, and — just as importantly — streamlining and automating the reporting processes that currently require manual effort. That automation focus matters: a fast-scaling grocery business generates more data and more reporting demands every quarter, and a BIE who reduces the manual workload behind a report doesn’t just save time once, they free up capacity across the whole team on an ongoing basis. Expect regular partnership with operations and category stakeholders who depend on this reporting to make weekly decisions, so clarity and reliability matter as much as technical correctness.
This is a strong entry-level opportunity for a UAE National early in a data or business intelligence career, ideally with some SQL and dashboarding experience already, who wants exposure to how a large-scale grocery operation actually runs on data. It suits someone who’s naturally drawn to finding a faster or more reliable way to do something repetitive, rather than someone who wants to build a report once and move on.
Weekly business reviews are how Amazon's operating rhythm actually works — decisions about staffing, inventory, and operational fixes get made in those meetings, and the quality of those decisions is only as good as the reporting behind them. A dashboard that's late, wrong, or manually error-prone doesn't just create inconvenience, it can send an entire team's attention toward the wrong problem for a week. Automating what used to be a manual reporting process has a compounding effect on the business: it removes a recurring time cost from the team every single week, reduces the chance of human error creeping into numbers leadership relies on, and frees up analyst time to spend on investigating problems rather than assembling the report that reveals them. In a business unit growing as fast as Ultra-Fast Grocery, where operational conditions change quickly, having reporting infrastructure that's both trustworthy and fast to produce is what lets leadership actually keep pace with the business rather than reacting a week behind it.
This is a strong first step into business intelligence and data analytics inside one of the most data-driven operating cultures in the world — Amazon's weekly business review discipline means the skills built here (SQL, dashboard design, automation, data storytelling for a non-technical audience) get exercised constantly, not occasionally, which accelerates how fast they actually develop. Working directly with the Ultra-Fast Grocery business gives early exposure to how a fast-scaling operations business actually runs, which is valuable context for almost any future analytics or operations role. The automation focus of the role also builds a specific, in-demand skill set — the ability to take a manual process and systematize it — that differentiates a BIE from someone who can only build reports on request. As an Emiratisation-focused entry-level role, it's designed as a genuine on-ramp into a data career at Amazon, with a clear path toward more senior business intelligence, data engineering, or analytics roles as skills and scope grow. The Amazon name and its rigorous data culture are widely respected credentials in the regional job market, and the specific combination of SQL, dashboarding, and process automation experience built here transfers cleanly to data roles across e-commerce, retail, and operations-heavy industries.
Consider including these terms in your resume for this role:
Tell me about a report or dashboard you've built. What was it used for?
Technical grounding, practical experience
Describe a manual process you automated or would like to automate.
Automation mindset, initiative
How do you make sure the data in your reports is accurate before sharing it?
Data quality discipline
Walk me through your SQL experience — what kinds of queries are you comfortable writing?
Technical skill level
How would you explain a data trend to someone without a technical background?
Communication clarity
Tell me about a time you had to deliver a report under a tight deadline.
Time management, reliability
Why are you interested in business intelligence within a grocery or operations business specifically?
Motivation, business fit
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