Senior Data Analyst, Instacart

• If you’re driven by impact, inspired by large-scale challenges, and energized by a culture that Goes Far Together, this is your seat at the table
• 6–8 years’ analytics experience in payments, fraud, identity, or closely related domains
• Expert-level SQL skills (complex joins, performance tuning) and advanced Excel/Google Sheets modeling
• Deep understanding of payment systems, money movement, issuers, settlement, and reconciliation processes
• Proven ability to diagnose metric changes, identify root causes, and recommend mitigation strategies
• Exceptional written and verbal communication—able to craft compelling stories for audiences from ICs to C-suite
• Comfort thriving in fast-moving, ambiguous environments; you act like an owner and deliver results with perseverance

Desirable

• At Instacart, data is the compass that guides our mission to transform how the world shops for groceries
• As a Sr. Data Analyst on our Fraud & Identity team, you’ll turn complex payments and fraud data into insights that protect our customers, shoppers, and retailers—while unlocking sustainable growth for the entire marketplace
• You will serve as the analytical heartbeat of our Payments & Fraud ecosystem, owning the strategy for how data illuminates risk, drives product decisions, and grows the pie for everyone who depends on Instacart
• From crafting a single source of truth dashboard to advising senior leadership on loss-prevention roadmaps, you’ll embed with cross-functional partners across Product, Engineering, Legal, and CX to solve creatively and roll up your sleeves on the toughest problems in digital commerce
• Fraud & Identity Operations is a tight-knit crew of strategists, analysts, and operators obsessed with safeguarding trust across every transaction
• Reporting to the Manager, Decision Science—Fraud & Identity Analytics, you’ll collaborate daily with teammates who champion transparency, serve generously, and consistently raise the bar for data excellence
• Together, we protect millions of checkouts, ensure accurate reconciliation, and pioneer industry-leading risk solutions
• Own end-to-end analysis and visualization of key Payments & Fraud KPIs—payment success, failed-payment recovery, conversion, chargebacks, revenue leakage, and more
• Build and maintain robust SSOT data models in Snowflake/DBT and intuitive dashboards that keep stakeholders focused on what matters most
• Translate insights into strategic narratives for leaders across Product, Engineering, Legal, Compliance, and Operations—driving decisions that balance growth and risk
• Design and evaluate A/B tests on checkout UX, fraud flags, and risk workflows; surface actionable recommendations rooted in statistical rigor
• Partner with engineers and external vendors to instrument new payment features, ensure pristine event tracking, and automate reporting that scales with our business