Senior Product Analyst

Who We Are

Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. What began as a universal registry has grown into a full ecosystem for new parents, including the Babylist Shop, Babylist Health, and a flagship showroom in Los Angeles. Hundreds of brands in baby and beyond partner with Babylist to engage meaningfully with families during one of life’s most important transitions. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive.To learn more, visit www.babylist.com.

Our Ways of Working

Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.

What the Role Is

As a Senior Product Analyst on the Growth & LTV team, you’ll own the analytics that help Babylist understand and grow its long-term relationship with families. Your core focus is Account Foundations—the identity and navigation layer that connects registrants, gift givers, and partners across the product—and program analytics for newer businesses like Money, Health, and Education. This is where product analytics meets business performance: you’ll connect how people use Babylist to how we create lasting value over time.

Day to day, this is a mix of deep analytical work and high-leverage partnership. You’ll define how we measure success, build KPI frameworks from scratch, audit and shape our event tracking, and run experiments that inform product direction. You’ll work closely with Product, Engineering, and cross-functional leads, often being the person who brings clarity when the data is messy or incomplete. Some weeks that looks like designing an experiment; others it’s untangling identity across surfaces or connecting product behavior to revenue and cost drivers.

This is a high-autonomy role in a space that isn’t neatly defined. You’ll be working across multiple surfaces and newer business lines where the “right” answer isn’t obvious and the data isn’t always clean. If you’ve mostly operated in tightly scoped analytics roles with mature dashboards and clearly defined metrics, this will feel uncomfortable. If you prefer clean handoffs over pushing into ambiguous, cross-functional problems, this likely isn’t the right fit.

Who You Are

• 6+ years in product analytics, with advanced SQL proficiency working daily with large-scale datasets (millions to billions of rows)—you independently write complex queries, debug data issues, and validate outputs without relying on others
• Deep experience owning product analytics for consumer-facing products, with a track record of influencing product decisions through data—not just reporting on them
• Expert in event instrumentation and clickstream data, including designing tracking plans, auditing event quality, and building reliable metrics from imperfect data
• Strong experimentation background, with hands-on experience designing A/B tests, applying statistical methods, and making clear recommendations even when results are ambiguous or inconclusive
• Experience spanning both product analytics and business/program analytics, with the ability to connect user behavior to revenue, cost drivers, and LTV outcomes
• Hands-on experience with modern data tools: dbt for data modeling, Amplitude (or similar) for product analytics, LaunchDarkly (or similar) for experimentation, and Hex or Sigma for analysis and reporting
• Proven ability to prioritize across competing demands, using an impact-driven framework to decide where your time and analysis matter most
• Comfortable operating as a senior IC in a scale-up environment, owning ambiguous problem spaces end-to-end and working cross-functionally without clear playbooks
• You actively use AI tools (e.g., Claude, Cursor, Devin) in your analytical workflow—writing SQL, accelerating analysis, and improving output quality—and are excited to push how AI can expand what a single analyst can do

How You Will Make An Impact

• Own analytics end-to-end for the Growth & LTV pod, developing deep expertise in Account Foundations and program performance across Money, Health, and Education
• Build and evolve KPI trees and measurement frameworks that define how success is evaluated across user journeys and business lines
• Lead event instr