Senior Product Analyst

Babylist

18h • Remote

About The Position

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.

Requirements

• 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

Responsibilities

• 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

• Competitive pay and meaningful opportunities for career advancement
• We believe technology and data can solve hard problems
• We're committed to career progression and performance-based advancement
• Competitive salary with equity and bonus opportunities
• Company-paid medical, dental, and vision insurance
• Retirement savings plan with company matching and flexible spending accounts
• Generous paid parental leave and PTO
• Remote work stipend to set up your office
• Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed