Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, finance
BusinessIntelligenceEngineer,PrivateBrands
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer, Private Brands at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Financial Analysis. Own architecture and development of data pipelines. Own development of reporting infrastructure”
Industry & Context.
Translate business questions into data solutions
What They're Looking For.
Must Have
3+ years analyzing data, 1+ years SQL, 1+ years ETL, 1+ years Oracle experience, 1+ years processing large datasets, 1+ years performing statistical analysis, 1+ years developing automated reporting, Experience with data visualization, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience using SQL to pull data, Scripting experience (Python)
Nice to Have
Experience with AWS solutions, Experience in data mining, Experience using Python scripting for modeling
What You'll Do.
Own architecture and development of data pipelines
Own development of reporting infrastructure
Lead design of self-service analytics tools
Lead delivery of dashboards
Drive deep-dive analyses on profitability
Drive analyses on cost structures
Drive analyses on category performance
Partner with senior leaders
Influence senior leaders
Identify analytical opportunities
Translate business questions into data solutions
Lead Gen-AI agent builds
Lead automation projects
Support strategic planning cycles
Provide data modeling for planning
Provide scenario analysis for planning
Provide performance benchmarking for planning
Establish best practices for data quality
Establish best practices for pipeline reliability
Establish best practices for documentation standards
Champion best practices for data quality
Champion best practices for pipeline reliability
Champion best practices for documentation standards
How You'll Work.
Team & Collaboration
Partnering with business teams; Partnering with supply chain teams; Partnering with category teams; Collaborate with Finance teams; Collaborate with cross-functional teams
Full Job Description
Amazon Private Brands (APB) is one of Amazon's fastest-growing businesses — a portfolio of owned and exclusive brands spanning across three different Categories (Softlines, Consumables and Hardlines) serving millions of customers across 10 global marketplaces in North America, Europe, and the Japan. The Private Brands Finance team drives financial planning, performance reporting, and business insights that shape how APB grows, invests, and competes. We work across a complex, multi-dimensional P&L, partnering closely with business, supply chain, and category teams to turn data into decisions. As a Business Intelligence Engineer supporting the Private Brands Finance team, you will own the end-to-end design, development, and optimization of scalable data pipelines, reporting infrastructure, and self-service analytics tools that empower 200+ stakeholders. You will lead cross-functional partnerships with Finance, Supply Chain, and Category teams — translating complex data into actionable insights that shape APB's growth strategy. From architecting solutions for monthly and quarterly financial reporting cycles to driving deep-dive profitability analyses, your work will directly influence how APB leadership steers the business across 10 global marketplaces. You'll collaborate with Finance and cross-functional business teams. Whether you're dealing with visualization, Pipeline Creation, Gen-AI agent builds or automatin projects, your contributions will be visible, meaningful, and lasting. If you're passionate about using data to solve complex business problems at scale, and want to do it in one of Amazon's most dynamic and strategically important businesses, this is the role for you. Key job responsibilities 1) Own the architecture and development of scalable, reliable data pipelines and reporting infrastructure that support APB Finance's multi-dimensional P&L 2) Lead the design and delivery of self-service analytics tools and dashboards, enabling 200+ stakeholders to indep
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