Business Intelligence Manager, WHS Data

AmazonBellevue, WA
$143,400 - $194,000Onsite

About The Position

The WHS Data team is hiring a Business Intelligence Manager (BIM). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible for providing all reporting solutions required by the WHS organizations to drive workplace safety, environmental programs, and regulatory compliance worldwide. This business intelligence manager role will manage the WHS Business Unit (BU) BI team to build scalable reporting and analytics solutions that enable better decision-making across the organization. This role will own key business metrics, drive automation, and standardize reporting frameworks. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role is required to develop project roadmap, own prioritization, and effectively communicate with customers and stakeholder groups including leadership.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • Engage with senior leadership and cross-functional teams to understand data needs and provide scalable BI solutions.
  • Hire, develop, and lead a team of Business Intelligence Engineers (BIEs).
  • Define, track, and maintain key business metrics to monitor operational performance and drive business decisions.
  • Design, implement, and support automated dashboards, reports, and self-service BI tools to democratize data across teams.
  • Ensure data integrity, accuracy, and consistency in all reporting and analytics frameworks.
  • Drive automation and operational efficiencies in reporting pipelines, eliminating manual processes where possible.
  • Conduct deep dives into large, complex datasets to identify trends, diagnose problems, and uncover opportunities for process improvement.
  • Partner with Data Engineering, Hardware, and Software Development teams to enable better data capture, integration, and storage solutions.
  • Own reporting for Monthly Business Reviews (MBR), Quarterly Business Reviews (QBR), and Weekly Business Reports (WBR).
  • 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
  • sign-on payments
  • restricted stock units (RSUs)
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
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