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# Business Intelligence Engineer, Workforce Solutions - Talent Management

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $82,300.0 - $144,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Excel, Data Analysis, Information Engineering, Data Mining, Data Visualization, Python (Programming Language), Log Files, MicroStrategy, NoSQL, Oracle (Applications), Power BI, Software Engineering, Tableau (Software), Data Processing, Scripting, Data Pipelines, Amazon Redshift
- **Published:** July 14, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10472852/business-intelligence-engineer-workforce-solutions-talent-management

## About the Role

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

 - Experience with data visualization using Tableau, Quicksight, or similar tools
 - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
 - Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

 - Master's degree, or Advanced technical degree
 - Knowledge of data modeling and data pipeline design
 - Experience with statistical analysis, co-relation analysis

## Description

The Workforce Solutions Talent Management team is looking for Business Intelligence Engineer (BIE) who enjoys the challenge of diving into complex business problems, providing data driven insights, and making recommendations that directly impact business. The BIE will use broad technical skills to build analytic and reporting capabilities.
The BIE will work closely product managers, program managers, BIEs, data scientist and data engineers to drive solutions.

Key job responsibilities

 - Develop scalable models and tools that speed up both decision making and accuracy for the team
 - Be a key influencer in strategy and contribute significantly to team planning
 - Show good judgement making technical trade-offs between the team's short term and long term business needs
 - Navigate discordant views, find the best way forward, and influence stakeholders around a solution
 - Defining, developing, and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
 - Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendation
 - Mining and manipulating data from database tables, simulation results, and log files
 - Identifying data needs and driving data quality improvement projects
 - Understanding the broad range of Amazon's data resources, which to use, how, and when
 - Modeling complex/abstract problems and discovering insights using statistics, data mining, and visualization techniques
 - Automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams
 - Collaborating effectively with internal end-users, cross-functional software development teams, Data Engineering teams, Analytics teams etc. to solve problems and implement new solutions

About the team
You will be part of the Data and Analysis team within the Workforce Solutions Organization. The team owns the full suite of employee facing products.


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