Business Intelligence Engineer III, RISC - Extended Producer Responsibility (EPR)

Amazon is hiring a Business Intelligence Engineer III, RISC - Extended Producer Responsibility (EPR) in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include SQL, Python and LLMs.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Architect scalable BI solutions and leverage Generative AI to automate regulatory data extraction and analytics for global EPR compliance.

SQLPythonLLMs

business-intelligencedata-architectureetlgenerative-ai

Are you passionate about transforming complex data challenges into scalable analytics solutions that drive business strategy at Amazon scale? If so, we'd like to talk to you.
As a Business Intelligence Engineer on the WW EPR team, you will own the design, build, and scaling of data infrastructure and BI solutions that power our Worldwide EPR compliance and circularity programs. You will tackle complex, ambiguous problems with high autonomy — building data solutions that inform cross-functional decisions across multiple teams and regions. You will define the team's BI architecture strategy, leverage emerging technologies including Generative AI, and drive innovation in regulatory intelligence, reporting, and cost optimization across global markets.

Key job responsibilities
Data Architecture & BI Solutions
• Lead design and delivery of BI solutions spanning EPR compliance, recycling fee analytics, regulatory tracking, and circular economy metrics across worldwide jurisdictions (NA, EU, APAC, emerging markets)
• Define the team's BI architecture strategy — ensuring pipelines, models, and reporting are scalable, extensible, and aligned with organizational standards
• Architect end-to-end solutions: ETL/ELT pipelines, dimensional models, and self-service analytics enabling real-time decision support across geographies
• Harmonize multi-jurisdictional regulatory data — normalizing diverse reporting requirements, fee structures, and compliance timelines across global EPR regimes
• Proactively resolve architecture deficiencies; drive simplification and cross-team integration
Advanced Analytics & Decision Support
• Build automated frameworks that surface cost-saving opportunities within EPR fee structures, eco-modulation incentives, and take-back economics globally
• Integrate EPR cost signals into upstream business decisions — enabling retail and Selling Partner teams to assess cost impact during product selection, design, and pricing
• Develop statistical models and KPI calibration (anomaly detection, regression, confidence intervals) to monitor compliance health and fee trends across WW programs
• Deliver executive-facing narratives, MBR/QBR inputs, and data-driven recommendations for senior leadership
Generative AI & Automation
• Leverage GenAI and LLMs to enhance regulatory data extraction, classification, and reporting workflows
• Design AI-augmented solutions (automated regulatory change detection, intelligent fee categorization, natural language querying of compliance datasets)
• Evaluate and implement AI/ML technologies to improve data quality, accelerate insights, and reduce manual overhead
Technical Leadership & Mentorship
• Set engineering standards, drive code quality, conduct design reviews, and establish operational excellence best practices for the EPR BI function
• Mentor BIE I/II team members; provide technical assessments for promotions and hiring loops
• Influence cross-functional technical decisions by driving BI best practices across partner teams
• Lead the hiring bar for BI roles — recruit, design interview loops, and assess candidates

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

- 10+ years of professional or military experience
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred qualifications

- Master's degree in statistics, data science, or an equivalent quantitative field
- Knowledge of data warehousing and data modeling
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.

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 III, RISC - Extended Producer Responsibility (EPR) at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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.

Key facts

Business Intelligence Engineer III, RISC - Extended Producer Responsibility (EPR) is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on August 20, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Business IntelligenceData ArchitectureETLGenerative AISQLPythonLLMs

Questions you could be asked

Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data architecture was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Business Intelligence, Data Architecture, ETL, Generative AI, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker