Business Intelligence Engineer, Extended Producer Responsibility
Technology, Data & Digital · Data, AI & Analytics · Business Intelligence · Data Analysis · Data Engineering
In short
Amazon is seeking a Business Intelligence Engineer II for their Worldwide EPR team in Bengaluru, India. This role involves designing, building, and maintaining data pipelines, reports, and analytics solutions to support global compliance and circularity programs. The ideal candidate will have experience with SQL, Python, data modeling, ETL, and data visualization tools like Tableau and Quicksight.
Responsibilities
- Design, build, and maintain data pipelines, reports, and analytics solutions for Worldwide EPR compliance and circularity programs.
- Deliver efficient, testable BI solutions using large, multi-regional datasets.
- Enable cross-functional teams to make data-driven decisions on regulatory obligations, recycling fees, and operational performance.
- Collaborate with stakeholders and senior BIEs to solve ambiguous problems and automate manual workflows.
- Improve data quality and reporting standards.
- Create mechanisms for non-technical stakeholders to self-serve data.
- Scope and deliver strategic projects to accelerate safety program success.
- Identify opportunities to simplify and automate redundant processes.
- Translate stakeholder problems into technical solutions.
- Leverage AWS services, internal data services, and AI-based tooling for data products and simplification.
- Partner with technical teams on end-to-end data solutions, focusing on data pipelines for core reporting and dashboarding.
Requirements
- 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.
- Scripting experience (Python) to process data for modeling.
Desired 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.
Benefits
- Inclusive culture that empowers Amazonians.
- Workplace accommodations and adjustments for individuals with disabilities during the application and hiring process.
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