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 be a key analytical partner embedded in the finance organization. You will design, build, and maintain scalable data pipelines, reporting infrastructure, and self-service analytics tools that empower 200 stakeholders to make faster, better-informed decisions. From monthly and quarterly financial reporting cycles to deep-dive analyses on profitability drivers, your work will directly influence how APB's leadership understands and steers the business. 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. Basic Qualifications- 2 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with scripting language (e.g., Python, Java, or R)- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, Quick. Sight, MicroStrategy, Power. BI) and statistical methods (e.g. t-test, Chi-squared)- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)Preferred Qualifications- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysis- Knowledge of one or more industry analytics visualization tools like Excel, Tableau, AWS Quick. Sight, MicroStrategy or Power. BI, and statistical methods like t-test or Chi-squared.