Business Intelligence Engineers (BIEs) support data-driven decision-making across the business through analytics data engineering and insight generation. The team is seeking a Senior BIE to lead the design of scalable BI systems that enable self-service analytics and high-impact insights.
This role owns the architecture and long-term strategy for the BI ecosystem. The focus is on building platforms - not just reports - that make data accessible reliable and easy to use. Responsibilities include developing automated data pipelines advanced analytical models and intuitive visualizations that influence how teams operate.
A strong Senior BIE builds deep business and domain knowledge. Success in this role comes from understanding how the business works diving into root causes and using that context to deliver insights that matter. The role requires thinking like a product owner by anticipating needs identifying gaps and building solutions that scale beyond individual requests.
The role operates at the intersection of data engineering analytics and emerging AI capabilities eliminating manual processes reducing bottlenecks and unlocking new insights. Work includes writing high-quality maintainable code using SQL (required) Python R or similar languages.
Clear and influential communication is critical. Findings must be shared using the most effective format - dashboards written narratives or presentations so that insights are understood and acted on.
This is a high-visibility role due to the critical tools maintained and the broad network impact of the analysis. The ideal candidate is self-directed comfortable with ambiguity and motivated by solving complex problems while continuously raising the bar.
Key job responsibilities
Lead design implementation and delivery of BI solutions for complex ambiguous problem spaces creating new solutions or revising existing ones
Think architecturally and take long-term view of team solutions by building reusable scalable solutions that minimize ad-hoc requests and enable self-service analytics
Identify and implement automation opportunities to improve team efficiency and reduce manual effort
Design and implement robust reporting solutions ensuring accuracy timeliness accessibility and actionability
Build and manage KPIs; monitor existing metrics build new metrics and partner with internal teams to identify improvement opportunities
Retrieve and analyze large datasets using SQL Python and other data management systems to build scalable extensible solutions that are easy to maintain
Design build and maintain ETL pipelines to ensure reliable data flow from source systems to analytics platforms
Adapt quickly to changing business environments and priorities demonstrating versatility across different problem domains and technical stacks
Influence teams technical and business strategy through insightful contributions making sound trade-offs between complexity and simplicity
Stay current with emerging AI tools and technologies to unlock new analytical and optimization capabilities
Drive BI engineering best practices including operational excellence code reviews syntax/naming conventions metric definitions and alarms
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. 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. Amazon also offers comprehensive benefits including 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 and parental leave. Learn more about our benefits at IL Chicago - 130400.00 - 176300.00 USD annually
USA TN Nashville - 123800.00 - 167500.00 USD annually