Business Intelligence Engineer II, Advertising Finance Econ and Science
Amazon
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Drive the analytics engine behind Amazon’s fast-growing Ads business. As the Business Intelligence Engineer on our Economics & Science team, you’ll own the data pipelines and run analysis that reveal where the next wave of growth will come from.
- Mission: Equip senior leaders with science‑backed insights on long‑term ad revenue, store–ad interactions, and the initiatives that will lead the growth for the next year.
- Scope: Design large‑scale data systems, collaborate with economists and data scientists, and deliver models that forecast revenue, measure program impact, and guide business decisions.
- Impact: Your work informs strategy for ads business—and your findings are presented directly to VP‑ and SVP‑level stakeholders.
- Culture: High‑ownership, experimentation‑friendly environment where innovation is encouraged and scientific rigor matters.
- Growth: Work with top‑tier economists, data scientists, finance managers, gain deep exposure to both finance and data science, and see your analyses turn into real‑world decisions within weeks.
Key job responsibilities
- Translate ambiguous business questions into clear analytical requirements. Engage with economists, finance leaders, and product teams to scope the right data, metrics, and deliverables for each decision.
- Design, build, and own end‑to‑end data solutions. Develop scalable ETL pipelines, dimensional models, and automated QA checks that power dashboards, self‑service reports, and machine‑learning features.
- Deliver intuitive BI products. Create and maintain AWS QuickSight/Tableau dashboards and ad‑hoc analyses that surface daily performance, long‑term trends, and experiment results to stakeholders across Finance and Product.
- Enable science at scale. Provide high‑quality, documented data sets and feature stores that accelerate econometric and forecasting models—and partner with scientists to productionize their outputs.
- Mentor and upskill the org. Act as the senior SME for SQL, Python, and visualization best practices, raising the BI bar through code reviews, training sessions, and tooling guidance.
- Lead deep‑dive investigations. Dive deep into anomalies or emerging trends, quantify root causes and opportunities, and drive—or support—the implementation of data‑backed solutions that improve revenue, efficiency, or customer experience.
This job is no longer accepting applications
See open jobs at Amazon.See open jobs similar to "Business Intelligence Engineer II, Advertising Finance Econ and Science" AnitaB.org.