Business Intelligence Engineer, Alexa Endpoints

Alexa Mobile BI (AMBI) owns the analytics that measure the mobile success of Alexa the next generation of Alexa. As a Business Intelligence Engineer on this team you will define what success looks like for a brand-new product still being shaped: how customers discover it adopt it engage with it day over day and come back. Your work goes straight to the people making the calls. You will build the metrics deep-dives and dashboards that Product Managers and senior leadership use to set the mobile roadmap and make launch go/no-go decisions. An analysis you run this week can change what ships next month.

We are also rebuilding how BI gets done. AMBI is investing in Generative and Agentic AI: AI agents that write SQL automate recurring reporting and stand up dashboards plus natural-language self-service analytics so PMs and leaders can answer their own questions instead of waiting in a queue. We want a builder who helps design these workflows not just consume them. The ideal candidate is a self-starter with a strong bias for action a communicator who can turn ambiguity into clear metrics and an AI power user (or someone eager to become one) who uses modern tooling to raise the whole teams velocity. If you are excited by data energized by a fast-moving launch and want to own an analytics domain end-to-end with room to grow this role is for you.

Key job responsibilities
* Own the metrics datasets and analytics for Alexa on mobile across adoption entitlement engagement and retention defining success measures for a product that is still being built.
* Run deep-dive cohort and retention studies (retention curves customer lifecycle stage and lapse analysis) across voice type and tap engagement plus feature-adoption studies that explain why the numbers move.
* Build and maintain exec-facing business reviews and QuickSight dashboards that leadership relies on every week.
* Partner directly with Product Managers and leadership to translate open questions into metrics and to inform roadmap and launch (go/no-go) decisions.
* Evaluate and interpret experimentation results. Measure the customer impact of A/B tests and feature experiments and translate them into clear evidence-based recommendations for launch and rollout decisions.
* Help design and adopt agentic analytics workflows such as AI agents that generate SQL automate reporting and power natural-language self-service for stakeholders.
* Build ETL and data models on the Data Lake/Warehouse (via Datanet/Cradle) and own data quality and metric consistency so every number tells the same trusted story.

A day in the life
A PM pings you before the business review (BR): Alexa engagement dipped in one cohort. Is it real or a reporting artifact You pull the thread with a retention deep-dive confirm its a genuine early-lifecycle drop-off and quantify it by modality. By mid-morning youve drafted the finding for the BR narrative and flagged it to the feature the afternoon you turn the one-off analysis into a reusable self-service dashboard so the team can watch the cohort without asking you again and you lean on the teams AI tooling to scaffold the SQL and the first pass of the build so you spend your time on judgment not boilerplate. You experiment move fast and keep learning.

About the team
Alexa Mobile BI (AMBI) is the analytics engine for the Alexa Mobile App. We measure engagement retention and the growth of Alexa and we are the source of truth for the WBR/MBR reporting that Product and leadership run the business on. We work across the full stack from the Data Lake/Warehouse and Datanet/Cradle pipelines to QuickSight and we are reinventing that stack with Generative and Agentic AI to move faster and go deeper than a traditional BI team. We move fast experiment constantly and balance strong technical craft with the business judgment to know which questions actually matter. This is a high-visibility product at a pivotal moment and we want an ambitious engineer whos ready to grow their scope alongside it.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Knowledge of product experimentation (A/B testing)
- Experience with consumer or subscription product analytics including adoption engagement retention and cohort analysis
- Fluency with Generative AI copilots/agents to accelerate analytics work and interest in building agentic and self-service BI tooling

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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 WA Bellevue - 99500.00 - 160000.00 USD annually