• Business Intelligence Engineer II, Advertising…

    Amazon (Seattle, WA)


    Description

    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.

    Basic Qualifications

    - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

     

    - Experience with data visualization using Tableau, Quicksight, or similar tools

     

    - Experience with data modeling, warehousing and building ETL pipelines

     

    - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

    Preferred Qualifications

    - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

    - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.