Lead Data Analyst, Product Analytics

Updater

2d•$150,000 - $180,000

About The Position

Updater operates at the intersection of embedded commerce, consumer marketplaces, and AI-powered buyflows. Millions of consumers use our products to find and purchase internet, utilities, insurance, moving services, and more — and every click, invite, and order tells a story. The story involves difficult consumer choices, understanding what product fits their needs. On the other side of the marketplace there’s also provider complexity about what consumers represent good credit risks. Your job is to find both sides of the story and make changes actionable. As our Lead Data Analyst for Product Analytics, you'll own how we measure product performance across Updater's product lines — from our consumer Moving App and Pro Onboarding for multifamily residents, to PoweredBy embedded commerce and our Marketplace, to our newest AI agentic experiences. You'll build the reporting that tracks our most important KPIs — funnel conversion, order rate, claim rate, engagement — and go beyond the "what" to explain the "why," shaping experiments and roadmaps along the way. This is a high-visibility, high-ownership seat. You'll partner directly with multiple product teams, along with marketing, and customer success. Your insights will inform decisions from feature design to executive strategy. We're also aggressively leaning into AI: we've been developing LLM-based agentic experiences that help consumers purchase complex products with confidence, and our data teams use Claude Code and other LLM-based tools daily to move faster and dig deeper. If you're excited to practice analytics at the frontier, you'll be at home here.

Requirements

5+ years of experience in product analytics, data analysis, or a similar role
Expert SQL and strong experience with modern analytics warehouses (Snowflake, BigQuery, Redshift)
Hands-on experience designing, instrumenting, and analyzing A/B tests with sound statistical rigor
Experience building dashboards and self-serve reporting in a BI tool (Looker strongly preferred, experience with Fullstory a plus)
Deep familiarity with funnel analysis, conversion metrics, and user journey analytics
Product sense: you think like a designer and a strategist — you see the opportunity behind the metric, not just the metric.
Comfort with ambiguity: you consistently deliver results from open-ended questions, without waiting for a perfectly scoped ticket.
Strong communication: you tailor your message to your audience, whether that's an executive, an engineer, or a non-technical partner.
Relationship builder: you proactively build trust with stakeholders who don't speak SQL.

Nice To Haves

Experience with dbt and analytics engineering workflows
Python (or similar) for analysis and automation
Experience in marketplaces, embedded commerce, affiliate, or other multi-party revenue environments
Experience using LLM-based tools to accelerate analytical work

Responsibilities

Define, build, and maintain the Looker dashboards that track funnel conversion and key product KPIs across product lines, so every team shares one trusted view of performance.
Investigate user behavior across the full journey (invite → onboarding → active usage → conversion) to explain why metrics move and where the biggest opportunities hide.
Design and analyze A/B tests that are statistically sound and trusted for business decisions, partnering with product and marketing to raise conversion across our buyflows.
Build and maintain dbt models in Snowflake that power self-serve analytics and keep metric definitions consistent and reliable.
Size opportunities and quantify the impact of launches so product teams invest in the highest-leverage work.
Own recurring performance reporting for key enterprise partners, in collaboration with customer success.
Monitor product health, help spot anomalies before they hit the business, and answer high-stakes questions with fast, rigorous analysis.