[Hiring] Senior Product Analyst @Babylist

Role Description

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.

• Define how we measure success.
• Build KPI frameworks from scratch.
• Audit and shape our event tracking.
• Run experiments that inform product direction.
• Work closely with Product, Engineering, and cross-functional leads.
• Design experiments and untangle identity across surfaces.
• Connect 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.

Qualifications

• 6+ years in product analytics, with advanced SQL proficiency working daily with large-scale datasets (millions to billions of rows).
• Deep experience owning product analytics for consumer-facing products.
• Expert in event instrumentation and clickstream data.
• Strong experimentation background.
• Experience spanning both product analytics and business/program analytics.
• Hands-on experience with modern data tools: dbt, Amplitude (or similar), LaunchDarkly (or similar), and Hex or Sigma.
• Proven ability to prioritize across competing demands.
• Comfortable operating as a senior IC in a scale-up environment.
• Actively use AI tools in your analytical workflow.

Requirements

• Own analytics end-to-end for the Growth & LTV pod.
• Build and evolve KPI trees and measurement frameworks.
• Lead event instrumentation efforts.
• Design and analyze experiments that improve engagement, retention, and long-term value.
• Connect product behavior to business outcomes.
• Create dashboards, reporting layers, and analytical artifacts.
• Leverage AI tools to accelerate analysis.
• Partner closely with Product, Engineering, and cross-functional stakeholders.
• Contribute to the broader Data organization.

Benefits

• 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.