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# BIE II - FBA Product Analytics, FBA Analytics

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $99,500.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Machine Learning, NoSQL, Oracle (Applications), Standard Sql, Tableau (Software), Usage Analysis, Freeform SQL, Information Technology, Data Analytics, Data Pipelines, Automation Anywhere, Amazon Redshift
- **Published:** August 13, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10500284/bie-ii-fba-product-analytics-fba-analytics

## About the Role

FBA Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions. In this critical role, you'll partner with business leaders to develop analytical methods, KPIs & dashboards, and build AI workflows to empower business with data-driven strategic decisions., Knowledge of SQL and data warehousing concepts

 - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
 - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
 - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
 - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
 - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
 - Experience with data modeling, warehousing and building ETL pipelines
 - Experience writing complex SQL queries, Master's degree in sciences, engineering, finance or equivalent
 - Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
 - Experience identifying opportunities to integrate AI solutions into products and services to drive business value.

## Description

Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.

 - Develop clear communications for recommended actions.
 - Establish self-service automated reporting processes for tracking and diving deep into the data.
 - Partner with data engineers to establish new data pipelines and document logic for business metrics.
 - Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.


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