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Business Intelligence Manager, WHS DataAmazon • Bellevue, Washington, United States
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Business Intelligence Manager, WHS Data

Amazon
  • US
    Bellevue, Washington, United States
  • US
    Bellevue, Washington, United States
Postuler Maintenant

À propos

Job ID: 10447035 | Amazon Development Center U.S., Inc.
At Amazon, the Leadership Principle "Strive to be Earth’s Best Employer" challenges us to create "a safer, more productive, higher performing, more diverse, and more just work environment," and reinforces that nothing is more important than the safety and well‑being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.
Key Job Responsibilities
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.
Benefits
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
Basic Qualifications
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
Preferred Qualifications
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
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is USD 143,400.00 – 194,000.00 annually, located in USA, WA, Bellevue. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
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  • Bellevue, Washington, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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