> Markdown version of [/jobs/ext/820360-business-intelligence-manager-whs-data](https://www.wearedevelopers.com/jobs/ext/820360-business-intelligence-manager-whs-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Business Intelligence Manager, WHS Data

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $143,400.0 - $194,000.0
- **Contract:** Temporary contract
- **Skills:** Business Analytics Applications, Data Analysis, Big Data, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Structures, Data Visualization, Data Warehousing, Decision Support Systems, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Standard Sql, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Weka, Data Strategy, Information Technology
- **Published:** June 12, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27757687/Business-Intelligence-Manager-Whs-Data-Washington-Bellevue-7375

## About the Role

7+ years of business intelligence and analytics experience

 - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
 - Experience with SQL
 - Experience with ETL
 - Experience with data visualization using Tableau, Quicksight, or similar tools
 - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
 - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field, 4+ years of working with very large data warehousing environment experience
 - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
 - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

## Description

Stakeholder Collaboration: Engage with senior leadership and cross-functional teams to understand data needs and provide scalable BI solutions.

 - Team Leadership: Hire, develop, and lead a team of Business Intelligence Engineers (BIEs).
 - Data Strategy & Metrics: Define, track, and maintain key business metrics to monitor operational performance and drive business decisions.
 - BI & Reporting Solutions: Design, implement, and support automated dashboards, reports, and self-service BI tools to democratize data across teams.
 - Data Quality & Governance: Ensure data integrity, accuracy, and consistency in all reporting and analytics frameworks.
 - Process Optimization: Drive automation and operational efficiencies in reporting pipelines, eliminating manual processes where possible.
 - Deep-Dive Analytics: Conduct deep dives into large, complex datasets to identify trends, diagnose problems, and uncover opportunities for process improvement.
 - Technical Collaboration: Partner with Data Engineering, Hardware, and Software Development teams to enable better data capture, integration, and storage solutions.
 - Business Reviews: Own reporting for Monthly Business Reviews (MBR), Quarterly Business Reviews (QBR), and Weekly Business Reports (WBR).
 - Data-Driven Decision Making: Leverage data and statistical analysis to drive recommendations that improve customer experience and operational efficiency.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)