Business Intelligence Engineer, Extended Producer Responsibility
Amazon is hiring a Business Intelligence Engineer, Extended Producer Responsibility in Bengaluru, India. Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Amazon has 20,000+ other open roles on Level.
AI in this role
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.
How we rate this
Business Intelligence Engineer, Extended Producer Responsibility at Amazon rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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