Senior Product Analyst

Babylist
$186,086 - $232,270Remote

About The Position

You'll own analytics for Wishlists and Celebrations within our Core Registry product org: the occasion-based surfaces (birthdays, holidays, showers) and hosting tools that keep families connected to Babylist beyond the newborn phase. This is where the long-term relationship either extends or ends, and you'll define how we measure it, building KPI frameworks and instrumentation from the ground up across a multi-sided set of users: registrants, hosts, gift givers, and partners. As a senior individual contributor, you'll own these domains end-to-end, influence product direction through rigorous analysis, and help raise the analytical bar across the broader Data org. The role sits in the Data organization and reports directly to the Senior Manager of Product Analytics.

Requirements

  • 6+ years of relevant product analytics experience.
  • Mastery-level SQL, applied to large-scale data. You work fluently across datasets in the millions-to-billions-of-rows range.
  • An expert in event instrumentation and clickstream data. You understand how tracking is structured, how to audit and validate events, and how to build reliable metrics and KPI frameworks from the ground up.
  • A domain expert in experimentation. You bring applied experience in statistical testing, experimental design, and A/B analysis across web and app surfaces, with the judgment to make clear recommendations even when results are messy or ambiguous.
  • Able to connect surface-level user behavior to business outcomes and LTV. You don't stop at the feature; you tie it to what it means for the business.
  • A demonstrated user of AI tools (e.g., Claude, Cursor, Devin) in your analytical workflow. You use them to write code, generate artifacts, and accelerate analysis. Not just curious about AI; already putting it to work.
  • Comfortable across both product analytics (feature and surface efficacy) and program analytics (P&L-adjacent evaluation of business initiatives), adapting your approach to the nature of the question.
  • Experienced with modern experimentation platforms (e.g., LaunchDarkly), product analytics tools (e.g., Amplitude), data modeling tools (e.g., dbt), and visualization platforms (e.g., Hex, Sigma).
  • Principled about prioritization. This role spans multiple surfaces and stakeholders, and you have a clear, impact-driven way of deciding where to focus.
  • Curious and self-directed, comfortable operating independently in ambiguous problem spaces with shifting scope.
  • You naturally reach for AI in your work. At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.

Responsibilities

  • Own end-to-end analytics for Wishlists and Celebrations: occasion-based gifting, event pages, and host and guest journeys.
  • Define success for surfaces that don't have it yet. Build, own, and evolve KPI trees and measurement frameworks with product, engineering, and cross-functional partners.
  • Lead instrumentation for your surface areas. Audit existing tracking, find the gaps, and partner with engineering to get the clickstream data reliable analysis depends on.
  • Design, run, and analyze experiments that drive list creation, guest participation, and repeat engagement across occasions.
  • Untangle a multi-sided user model (registrants, hosts, gift givers, and partners) and make it legible to the people building for them.
  • Quantify how Wishlists and Celebrations extend the Babylist relationship past the newborn phase, connecting repeat occasion behavior to retention and long-term value.
  • Build, own, and evolve dashboards, reporting, and AI artifacts that give clear, reliable visibility across your domains.
  • Use AI throughout your analytical workflow to accelerate delivery, improve code quality, and expand what one senior IC can accomplish independently.
  • Influence product strategy as a trusted senior IC. You shape direction through data, you don't just report on it.
  • Contribute to the Data org's internal initiatives and analytical culture, with room to become a team expert in AI-assisted analysis.

Benefits

  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching and flexible spending accounts
  • Generous paid parental leave and PTO
  • Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
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