Lead Data Analyst

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Do you love turning messy behavioral data into the "aha" that changes a product roadmap? Do you want your dashboards to be the first thing product leaders open in the morning — and your analyses to inform what gets built next? If so, we want to talk to you!

About the Role

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.

What You'll Own

• KPI reporting & dashboards — 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.
• Product performance analysis — Investigate user behavior across the full journey (invite → onboarding → active usage → conversion) to explain why metrics move and where the biggest opportunities hide.
• Experimentation — 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.
• Data modeling — Build and maintain dbt models in Snowflake that power self-serve analytics and keep metric definitions consistent and reliable.
• Roadmap planning & impact sizing — Size opportunities and quantify the impact of launches so product teams invest in the highest-leverage work.
• Partner & external reporting — Own recurring performance reporting for key enterprise partners, in collaboration with customer success.
• Incident support & ad hoc insights — Monitor product health, help spot anomalies before they hit the business, and answer high-stakes questions with fast, rigorous analysis.

What Success Looks Like

• Every product line has clearly defined KPIs with dashboards stakeholders trust — even when the numbers are uncomfortable.
• When funnel conversion moves, we know why within hours, not weeks.
• Product roadmaps are informed by your opportunity sizing and experiment results.
• A/B tests across the company are statistically fair and consistently interpreted.
• Partner-facing reports ship accurately and on time, every time.

About You

• 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.
• 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

Bonus Points For

• 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

Compensation

This posting is anticipated to remain open until 8/28/2026. The new hire salary range for this position is $150,000 - $180,000 annually. Factors which may affect the starting pay within this range include skills, experience, and other qualifications aligned with Updater's internal leveling guidelines.