Staff Product Analyst

Hover • San Francisco, CA

2d • $172,000 - $212,000 • Hybrid

About The Position

Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property — all from a smartphone scan in minutes.
At Hover, we’re driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide — we’re redefining how people understand and interact with their spaces.
Why Hover wants you
Hover's product suite has expanded significantly in recent years. We've launched new solutions across the Pro workflow, introduced AI-driven design visualizations, and scaled to serve homeowners, contractors, and insurance carriers. Our Product Analytics team partners closely with Product Management, Design, Engineering, and Data Science to keep product decisions grounded in solid data and a real understanding of how people use what we build.
This role owns the analytics behind our most magical product and our biggest open opportunity. Hover turns a phone scan of a house into an accurate 3D model, and that model into the measurements and estimates a contractor bids from. Homeowners look at their own home in that model, which makes it the most consumer-facing thing we build. Today, the flow from 3D model to finished estimate converts poorly, and nobody owns the analytics behind it. We know usage is low. We don't yet know where it leaks, what the real blockers are, or how success should be measured. That's what you'd figure out.
This role demands an owner mindset. You'll define the measurement framework rather than inherit one, build our experimentation practice for 3D from scratch, and work directly with senior product and engineering leaders to shape the roadmap. You'll handle a wide range of analytical needs along the way: tracking plans, dashboards, experiment design, and deep-dive product analyses.
Your background likely spans product analytics, experimentation, data science, or product strategy, and you're looking for broad scope with a short distance between your analysis and a real decision. Final leveling will be determined based on experience and alignment during the interview process.

Requirements

• 7+ years in product analytics, data science, or a related role, focused on user behavior and experimentation
• Expert-level SQL for complex extraction and analysis, with real comfort in messy, evolving data
• Hands-on ownership of experimentation, including experimentation platforms and statistical methods (A/B testing, causal inference). You choose the metrics and guardrails, read the results, and tell the team what to do next
• Strong familiarity with BI and analytics notebook environments (Hex, Mode, Tableau, Looker, or similar), and the judgment to build analysis others reuse
• Experience with modern data stacks (dbt, Snowflake, Hex) and product analytics platforms (Amplitude, Mixpanel)
• Curiosity and hands-on experience using AI to accelerate analysis, surface insights, or improve how you work
• Strong product sense, and the ability to communicate complex findings clearly to technical and non-technical audiences through clean decks, documentation, and visualizations
• A track record where your analysis changed what a team built, not only what a team knew, and a willingness to bring that perspective to cross-functional rooms rather than waiting to be asked for numbers

Nice To Haves

• Python for analysis or automation
• Experience with Segment or another CDP, and with Split, LaunchDarkly, Statsig, or Eppo
• Consumer product experience, especially where UX decisions drove conversion
• Comfort with quasi-experimental methods where a clean A/B test isn't possible
• Exposure to 3D, spatial, or computer vision products
• Exposure to construction, home services, insurance, or another operationally complex industry

Responsibilities

• Own the analytical backbone of Hover's 3D and Estimates experience, embedded in the product team rather than sitting beside it.
• Scope your own questions, do the data work, and tell the story that changes what we build.
• Define how we measure the flow from 3D model to Estimates, find where it leaks, and make the case for the product changes that fix it.
• Partner with Product Managers and Engineering Leads to define success metrics, design experiments, and evaluate product performance.
• Lead experiment design and analysis for A/B tests and quasi-experimental studies, and write the playbook that sets how we design, run, and read tests across the company.
• Evaluate the new 3D experiences arriving as our Inspections product begins to inform the model, including damage assessment, and think through how they interact at a systems level.
• Improve the telemetry we depend on in Segment, and run cleaner experiments through Split.
• Build frameworks that help stakeholders align around insights and prioritize the work that moves user and business outcomes.
• Raise the bar for data-driven decisions across the product organization by extending our semantic layer in dbt and Hex Context Guides, improving self-serve analytics, and mentoring peers.

Benefits

• Competitive salary and meaningful equity in a fast-growing company
• Comprehensive medical, dental, and vision coverage for you and dependents
• Unlimited and flexible vacation policy
• Generous paid parental and new child bonding leave
• A day set aside each month to allow employees to recharge
• Recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
• We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed