- Amazon
- Bengaluru, KA
- Full-Time
- 41 days ago
Business Intelligence Engineer, Extended Producer Responsibility.
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Business Intelligence Engineer, Extended Producer Responsibility: our view in 3 lines...
- The Role:This role is for a Business Intelligence Engineer who supports Worldwide Extended Producer Responsibility compliance and circularity programs at Amazon.
- The Person:The person will build and maintain data pipelines, reports, and analytics solutions, create self-serve data tools, automate manual processes, and support cross-functional stakeholders with reporting and data quality improvements.
- Requirements:The role requires a bachelor's degree or above, 3+ years of experience with Redshift, Oracle, NoSQL, Tableau, SQL, Python, data modeling, warehousing, ETL pipelines, and AWS solutions such as EC2, DynamoDB, S3, and Redshift.
About the role
Are you energized by turning complex data into actionable insights that drive compliance and cost optimization at Amazon scale? If so, we'd like to talk to you.
As a Business Intelligence Engineer II on the WW EPR team, you will design, build, and maintain the data pipelines, reports, and analytics solutions that power our Worldwide EPR compliance and circularity programs. You will work with large, multi-regional datasets — delivering efficient, testable BI solutions that enable cross-functional teams to make data-driven decisions on regulatory obligations, recycling fees, and operational performance across global markets. You will collaborate directly with stakeholders and partner closely with senior BIEs to solve ambiguous problems, automate manual workflows, and continuously improve data quality and reporting standards.
Key job responsibilities
• Create mechanisms for non-technical stakeholders to self-serve data including during urgent issue management
• Scope and deliver strategic projects to accelerate the success of the safety programs supported
• Look for opportunities to simplify and automate redundant processes
• Take the problems of stakeholders and help them understand technical solutions which can be delivered
• Leverage a combination of AWS services, internal data services, and AI-based tooling and solutions to deliver data products and simplification
• Partner with technical teams on end to end data solutions, focusing on data pipelines that power core reporting and dashboarding solutions
About the team
Our Worldwide EPR team owns Amazon's global compliance strategy for Extended Producer Responsibility — ensuring adherence to post-consumer waste regulations across packaging, electronics, batteries, and textiles in all operating regions. We enable circular economy value for Selling Partners, Vendors, and customers by connecting every product sold to verified recovery outcomes with auditable results. We work cross-functionally with Legal, Business, Product, and Data Science/Engineering teams across NA, EU, APAC, and emerging markets to deliver compliance programs at scale. EPR shifts post-consumer waste management costs from municipalities to producers — requiring all Selling Partners on Amazon's marketplace to register, report product data, pay recycling fees to PROs, and establish take-back systems. This incentivizes environmentally friendly product and packaging design.
EPR is part of the Regulatory Intelligence, Safety and Compliance (RISC) organization, dedicated to protecting Amazon customers from products that are illegal, unsafe, or otherwise prohibited
Basic Qualifications:
- Bachelor's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications:
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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.

