Staff Analyst, Product Analytics & Strategy (Gen AI Products)

Hover is making the homeowner journey easy, transparent and fun. Starting with the home improvement industry, we’re answering age-old questions like, “What is it going to look like?” and “What is it going to cost?”, by helping homeowners and pros visualize what’s possible with Artificial Intelligence (AI) and interactive 3D property models. Homeowners, contractors, and insurance professionals all use Hover to get fully measured, accurate, and interactive models of any property—in a matter of minutes, and with just a few snaps of a smartphone camera.

Join a team that is rooted in challenging the status quo, persistence, and dedicated to serving our employees, customers, and communities. With key investors, including Google Ventures and Menlo Ventures and leading insurance carriers such as Travelers, State Farm, and Nationwide, Hover is committed to changing the world, one home at a time. At Hover, we believe there is strength in diversity and are fostering an inclusive and diverse culture by hiring qualified, talented people from a wide variety of backgrounds.

Why Hover Wants You

Hover’s product suite has expanded significantly in recent years as 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 ensure product decisions are grounded in robust data and a deep understanding of user behavior.

We’re looking for a relentless problem solver who combines strong analytical and technical skills with sharp product intuition to unlock new TAM opportunities and help launch 0→1 products. This role demands an owner mindset — from defining and pursuing product–market fit to navigating ambiguity and addressing a wide range of analytical needs, including tracking plans, dashboard development, experiment design, and deep-dive product analyses. You will collaborate directly with senior product and engineering leaders to influence roadmaps, optimize key funnels, and measure the impact of strategic product bets.

Your background likely spans product analytics, experimentation, data science, or product strategy , and you’re seeking a role with broad scope and the opportunity to drive outsized impact across multiple product areas.

We are looking to make two hires for this role at both mid-level and senior-level, with final leveling to be determined based on experience and alignment during the interview process.

You will contribute by

• Partnering with Product Managers and Engineering Leads to define success metrics, design experiments, and evaluate product performance.
• Driving end-to-end analytical projects — from scoping questions, to data wrangling, to uncovering insights, to storytelling and influencing decisions.
• Building a deep understanding of our product usage and user journeys , identifying opportunities for growth, retention, and improved user experience.
• Leading experiment design and analysis for A/B tests and quasi-experimental studies to inform product decisions.
• Creating data-driven frameworks that help stakeholders align around insights and prioritize work that drives user and business outcomes.
• Serving as a data evangelist within the product organization — improving self-serve capabilities, mentoring peers, and fostering a culture of data-driven decision making.

Your background includes

• 7+ years of experience in product analytics, data science, or related roles with a focus on user behavior and experimentation.
• Expert-level proficiency in SQL for complex data extraction and analysis.
• Experience with experimentation platforms and statistical methods (A/B testing, causal inference).
• Strong familiarity with BI / dashboarding tools (e.g., Tableau, Looker, or similar).
• Experience within modern data tech stacks (e.g., dbt, Snowflake, Hex) and product analytics tools (e.g., Mixpanel, Amplitude).
• Curiosity and hands-on experience leveraging AI tools and techniques to accelerate analysis, uncover insights, or improve workflow efficiency.
• Demonstrated ability to communicate complex insights to both technical and non-technical audiences via clear decks, documentation, and visualizations.
• Experience managing multiple priorities and delivering impactful insights in a fast-paced, cross-functional environment.
• Strong product sense and ability to synthesize data into actionable recommendations.

We are looking to make two hires for this role at both mid-level and senior-level, with final leveling to be determined based on experience and alignment during the interview process.

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company
• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
• Paid Time Off - Unlimited and flexible vacation policy
• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave
• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Hybrid roles at Hover

Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.

The US base salary range for this full-time position is $143,000-$192,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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