Data Analyst, Spotlight Listings

Are you a marketplace analytics expert? Are you ready to own the commercial measurement engine behind one of real estate's most visible listing-promotion products? If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Data Analyst, Seller and help change the world of real estate, one home at a time.

Top reasons to apply:

• End-to-end ownership: You'd own the full measurement framework for a live product line — KPIs, dashboards, and instrumentation — not just contribute analyses to someone else's model.

• Solve High-Complexity Marketplace Problems: This is a playground for advanced analytics. You will tackle non-trivial, two-sided marketplace challenges including pricing/packaging optimization and causal inference for interventions where standard A/B test assumptions often break down.

• Strategic Executive Visibility: Because Spotlight Listing a growth area for the next few years, this role offers high exposure to high-profile stakeholders. You won't just be presenting charts; you will be partnering with Product, Marketing, and Sales to shape commercial decisions and drive measurable product impact..

What You'll Do:

• Design and own the canonical performance measurement framework for Spotlight Listings — defining the KPIs that actually reflect product health at scale, building the SSOT dashboards that leadership and FP&A rely on weekly, and setting the instrumentation specs that make every new SPL surface measurable from day one

• Build and maintain the inventory capacity model that determines token caps at the market level, calibrated against impression share and uplift targets, and partner with Sales to operationalize those limits as durable guardrails in Salesforce

• Lead experimental design for SPL pricing, packaging, and renewal interventions — scoping tests with adequate statistical power, selecting the right estimators for a two-sided marketplace setting, and delivering readouts that are defensible at the executive level and actionable for the product team

• Own SPL revenue and activation reporting end-to-end: weekly pacing for leadership, monthly inputs for FP&A, pack and subscription-level economics, and analytical support for enterprise agreements and Teams pricing pilots

• Drive data quality and pipeline integrity across all SPL assets — investigating and resolving issues at root cause, coordinating with Engineering and the data platform team to close structural gaps permanently, and maintaining Tier 1 reliability standards

• Partner with Product, Marketing, and Sales on pricing and packaging decisions, including a-la-carte vs. pack economics, guest checkout funnel conversion, and token-utilization patterns that predict renewal risk and inform proactive account outreach

What You'll Bring:

• 2+ years of experience in data science or quantitative analytics, with a track record of owning a product or business unit's measurement framework end-to-end — not just contributing analyses to someone else's model

• Deep fluency in causal inference and experimental design, including experience with marketplace or two-sided platform settings where standard A/B assumptions require adjustment

• Advanced SQL and Python skills applied to large-scale clickstream and transaction data; experience with Snowflake and dbt strongly preferred

• Demonstrated ability to translate analytical findings into commercial decisions, with evidence that your recommendations were adopted and had measurable revenue or product impact

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; advanced degree a plus

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.