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

Are you passionate about transforming complex data challenges into scalable analytics solutions that drive business strategy at Amazon scale If so wed 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 teams 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 teams 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 Amazons 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 Amazons 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

- 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

- Masters 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.

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