Business Intelligence Engineer, Private Brands Finance

Amazon • Seattle, WA

1d

About The Position

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.

Requirements

• 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, QuickSight, MicroStrategy, PowerBI) 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)

Nice To Haves

• 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 QuickSight, MicroStrategy or PowerBI, and statistical methods like t-test or Chi-squared

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level