Business Intelligence Engineer II, Compliance Shared Services (CoSS)

About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Basic qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience - Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL (Structured Query Language) to pull data from a database or data warehouse - Experience using Python scripting to process data for modeling - Experience using coding agents like Claude Code, Codex, Kiro etc Preferred qualifications - Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - 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

This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space. Key job responsibilities - Creating automated reports and dashboards with a combination of BI tools such as Tableau, Quicksight etc. - Partnering with Program team, Legal, and Tech stakeholders to understand challenges and provide /analysis to help drive program success - Providing data support for business and cross-functional partners to address escalations and answer questions using PostgreSQL and AWS solutions - Uncovering trends and correlations through mining and analysis to develop insights that can help stakeholders to make effective decisions - Designing and executing analytical projects using statistical analysis - Build self-service solutions that empower stakeholders to access and analyze data independently. About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Basic qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience - Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL (Structured Query Language) to pull data from a database or data warehouse - Experience using Python scripting to process data for modeling - Experience using coding agents like Claude Code, Codex, Kiro etc Preferred qualifications - Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - 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.