# Senior Product Analyst at Babylist

- Company: Babylist
- What the company does: Babylist is the best baby registry for growing families. Add baby gear from any store including Amazon, Target, and Etsy. Start building your registry today! Backed by Norwest and 500 Global.
- Company website: https://www.babylist.com/
- Type: Startups
- Level: Senior
- Location: United States
- Work setup: On-site
- Pay: $186K to $232K base salary per year (USD)
- Posted: 2026-08-21
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/babylist/jobs/6148834004
- Page: https://www.1752.vc/careers/jobs/babylist-senior-product-analyst/

## About the role

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.

## What they're looking for

- 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
- 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

Tags: Data
