Senior Product Analyst

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 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 instrumentation efforts by auditing existing tracking, identifying gaps, and partnering with Engineering to implement clean, reliable data pipelines Design and analyze experiments that improve engagement, retention, and long-term value, shaping product decisions through clear and actionable insights Connect product behavior to business outcomes by evaluating program performance across cost, revenue, and LTV drivers Create dashboards, reporting layers, and analytical artifacts that give teams consistent, trusted visibility into performance Leverage AI tools to accelerate analysis, improve code quality, and increase the scope and speed of what you can deliver as an individual contributor Partner closely with Product, Engineering, and cross-functional stakeholders to influence roadmap decisions and ensure data is embedded in how we build Contribute to the broader Data organization by raising the bar on analytical rigor and helping shape how AI is used in day-to-day analytics work Benefits HAPPIER WEEKENDS – We work to live, not live to work. That means we generally don’t work nights or weekends, and we offer 10 paid holidays throughout the year, in addition to your paid time off. PAID TIME OFF THAT WORKS FOR YOU – Life is unpredictable. Use your time off for what you need, whether that’s a vacation, family event or a day to unplug. PARENTAL LEAVE – We offer a flexible, 12-week paid parental leave policy. FLEXIBLE BENEFITS – Choose from benefits that support your working style, whether that’s remote, in the office or something in between. HEALTH & WELLNESS – Wellness benefits include 100% paid coverage for medical, vision and dental for full-time employees. BABYLIST STORE DISCOUNT – All full-time employees receive a generous Babylist Store discount. Experience spanning both product analytics and business/program analytics, with the ability to connect user behavior to revenue, cost drivers, and LTV outcomes 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 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 Strong experimentation background, with hands-on experience designing A/B tests, applying statistical methods, and making clear reco