Business Intelligence Engineer, Alexa 3P Quality & Experiences

Want to define how millions of customers experience third-party services through Alexa Alexa 3P Quality & Experiences ensures every ride booking restaurant reservation and travel plan delivers a frictionless experience. If youre passionate about turning raw customer signals into actionable quality insightswhile operating at the intersection of Generative AI and large-scale data systemsthis role is for you. Work with us to scale quality for 3P experiences across multiple integration patterns and international locales all while pioneering AI-powered quality improvements and fixes.

The Alexa 3P Quality & Experiences team is seeking an experienced Business Intelligence Engineer who transforms ambiguous high-volume customer experience data into metrics that drive decisions. Using a combination of deep technical skills and cross-functional influence this candidate will be the key BI partner between quality monitoring operations ASK product teams and 3P partner engagement. Primary areas of focus will be: 1) defining and operationalizing quality metrics (CPDR CPQR friction rates task completion funnels) across experiences and locales 2) building scalable data pipelines that power AI-driven investigation tools and 3) deep-diving large datasets to surface cross-expert defect patterns invisible to manual analysis.

A successful candidate will be an expert with SQL ETL and data modeling for customer experience signals at scale. They will build dashboards that translate high-volume utterance data into clear quality narratives for VP-level reviews. The candidate will need to be a self-starter comfortable with ambiguity in a fast-paced environment with rapidly expanding scope and able to think big about automation-first measurement systems while paying careful attention to data accuracy and statistical rigor.

Key job responsibilities
- Interface directly with stakeholders gathering requirements and owning automated end-to-end reporting solutions.
- Develop complex queries for ad hoc requests and projects as well as ongoing reporting.
- Design develop and maintain scalable automated user-friendly systems reports dashboards etc. that will support our analytical and business needs
- Design implement and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazons data resources and know how when and which to use.
- Perform end-to-end deep dive analyses to discover actionable insights for our business stakeholders.
- Simplify and automate reporting audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Apply engineering excellence to reporting and analysis pipelines automate and simplify self-service support for customers.
- Interface with other technology teams to extract transform and load data from a wide variety of data sources.

A day in the life
Your primary focus is turning messy high-volume customer experience data into the metrics and dashboards that tell leadership whats broken why and what to fix firstacross both pre-launch quality assurance and post-launch monitoring for third-party experiences on Alexa.

On a typical day youll pull overnight quality signals validate whether a metric spike is a real customer problem or a data artifact and have an answer ready before standup. Youll build and maintain the data pipelines that feed AI-powered investigation toolsand then audit those tools to prove theyre actually accurate. Youll partner with product engineers to quantify defect impact with operations teams who use your dashboards to prioritize investigations and with partner-facing teams who need data to drive conversations with third-party developers. Youll also work closely with AI/ML tool ownersproviding ground-truth datasets and measuring whether automation is delivering on its promise.

Beyond the day-to-day youll shape how quality is measured as new experiences and international markets launch. Youll define what good looks like before Day 1 build the scorecards that track it and own the narrative in weekly executive reviews.

About the team
The Alexa Enterprise (AE) mission is to extend Alexas capabilities and services to partners accelerating Alexas vision of creating the smartest most capable and trusted AI personal assistant. We help our partners create value and deliver a business we love. Our business mission is focused towards the following areas:
1) Distribute Alexa across 3P endpoints such as smart TVs and speaker profitably drive incremental endpoints and new-to-Alexa customer acquisition
2) Bring value to customers in hotels senior living communities and healthcare properties
3) Offer branded conversational AI assistants to partners
4) Ensure product certification quality checks and developer support to partners
We serve world-class customers across the industry. Our products have been featured in publications such as CNET and Forbes and Amazon has celebrated our progress in its quarterly earnings highlights. Our vision is for Alexa to become an integral part of our enterprise customers driving revenue lowering costs and improving end user satisfaction. Our team values work-life harmony and a diversity of lifestyles and family schedules

- 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

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