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Sr.Business Intelligence Engineer, Alexa Devices Business Insights

Amazon - Bengaluru, Karnataka, IND

Posted Apr 22, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Sr.Business Intelligence Engineer, Alexa Devices Business Insights Bengaluru, Karnataka, IND Amazon Alexa Devices BI team (DBI BI) is seeking an experienced Sr. Business Intelligence Engineer interested in developing ground breaking insights into user and product experience. This is an exciting opportunity to uncover ways to improve the Alexa experience on Echo Family of Devices and Smarthome devices. In this role within the DBI BI team you will leverage your technical and analytical skills to create scalable data structures, develop automated data visualization dashboards, and drive strategic insights on how to grow the business through a more compelling product experience. To accomplish your goals, you will be working closely with a wide variety of stakeholders including senior members across engineering, product, business leadership, and economics/data science teams. The successful candidate will have a great balance between expert technical skills (e.g. SQL, ETL, and handling big data) and business management skills to drive actionable insights that help improve KPIs. Exemplary communication/project management capabilities are a must given the team's close partnership with senior business stakeholders and highly visible goals. Importantly, the candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. Key job responsibilities Key job responsibilities Work with leaders in the organization to identify opportunities and build analytical solutions that provide them with decision making capabilities and insights. Collaborate with Product and Tech teams to design analytics frameworks that will support large-scale data-analysis and

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