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Home›Jobs›Amazon›Business Intelligence Engineer II, Alexa Endpoints
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Business Intelligence Engineer II, Alexa Endpoints

Amazon • Pune, Maharashtra, IND

Posted 3d ago🏛️ On-SiteMid-LevelBusiness intelligence engineer📍 Pune
Apply Now →

Skills & Technologies

SQLPythonEtlData analysisData visualization

✨ AI Summary

Amazon is seeking a Business Intelligence Engineer II to support product analytics for the Alexa Mobile App and Alexa+ endpoints. You'll design and maintain data pipelines, develop automated dashboards, and deliver insights using SQL and Python. This role is based in Pune and requires expertise in ETL processes and data analysis.

Job Description

We're seeking a Business Intelligence Engineer to join our team supporting product analytics for the Alexa Mobile App and the upcoming Alexa+ endpoints.
You'll be at the forefront of generative AI innovation. Alexa+ leverages large language models to deliver more natural, contextual conversations—going beyond traditional voice assistant experiences. Your analytics work will directly shape how we measure and improve this transformative AI product, from response quality and conversation coherence to customer engagement with AI-generated content. This is a unique opportunity to define the analytics foundation for a product reaching millions of customers.


Key job responsibilities
Data Infrastructure & Pipeline Development

* Design, build, and maintain scalable data pipelines to support Alexa+ analytics
* Create and optimize ETL processes for web interaction data, user engagement metrics, and product performance indicators
* Ensure data quality, accuracy, and availability across all reporting solutions

Analytics & Insights Delivery

* Develop automated dashboards and reports tracking key metrics for Alexa+ endpoint performance.
* Define and track metrics specific to LLM-powered interactions, including customer satisfaction.
* Build analytics frameworks to understand customers interaction with Alexa+ features
* Analyze user behavior patterns, engagement trends, and conversion funnels for Alexa interactions
* Partner with Product Managers, Data Scientists, and Engineering teams to define and track KPIs
* Deliver actionable insights through clear visualizations and written analyses for both technical and non-technical audiences

Technical Execution

* Use development tools to accelerate SQL/Python development for automated insight generation and exploratory analytics
* Write efficient, maintainable SQL queries and data transformations
* Build and maintain datasets in Redshift and create compelling visualizations using QuickSight
* Implement data quality checks and monitoring to ensure reporting accuracy
* Document data models, pipelines, and analytical methodologies



About the team
Why Join Our Team ?

* Work on Generative AI technology reaching millions of customers
* Collaborate with a talented team of Data Engineers, Data Scientists, and BI Engineers
* High impact role supporting a strategic new product initiative (Alexa+ )
* Opportunity for growth and skill development in a fast-paced environment
* Strong culture of mentorship, innovation, and operational excellence

- 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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