At a Glance
- Tasks: Drive data analysis to improve operations and enhance efficiency at Hover.
- Company: Join a cutting-edge tech company transforming property design with AI.
- Benefits: Enjoy competitive salary, unlimited PTO, and comprehensive healthcare.
- Other info: Collaborative hybrid work environment with opportunities for professional growth.
- Why this job: Shape the future of operations with your analytical skills and innovative mindset.
- Qualifications: 7+ years in data analysis, strong SQL and Python skills required.
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.
Why Hover wants you
You bring a first-principles mindset to messy operational questions and don't wait to be handed a fully-scoped problem — you find the signal in the noise and drive toward an answer. You're comfortable moving between rigorous statistical thinking and practical, ship-it analysis, and you want a seat where your work directly shapes how a growing company understands its own cost drivers. If you're energized by ambiguity, curious about applying data science techniques to real operational levers, and want to grow your career at the intersection of analytics and AI-enabled tooling, this role was built with you in mind.
You will contribute by
- Owning the analytical backbone of Hover's Operations function, working to understand what actually drives turnaround time (TAT) across our property-scan review computer vision pipeline.
- Designing and running experiments and statistical models to isolate the real impact of process changes.
- Building the reporting, alerting, and tooling that tells the team when and how each part of the ops pipeline is being used.
- Working cross-functionally with Operations, Finance, and Analytics Engineering to bring a sharper, more scientific lens to how Hover measures and improves its operations.
- Developing your own point of view and advocating for it.
Your background includes
- 7+ years of experience in a data analyst, analytics, or operations research role, ideally within a fast-paced operational or marketplace environment.
- Strong SQL and Python skills, with the ability to move fluidly from ad hoc analysis to production-quality reporting.
- Experience with statistical modeling or experimentation (A/B testing, causal inference, or similar) to isolate the drivers of a business outcome.
- Comfort working with BI tooling to build dashboards and reporting that others rely on.
- A first-principles approach to problem-solving — you dig into the "why" rather than accepting the first plausible explanation.
- Demonstrated ability to work autonomously, develop an independent analytical point of view, and communicate it persuasively to stakeholders.
- Strong cross-functional collaboration skills, with experience partnering across Operations, Finance, or similar functions.
Nice-to-haves:
- Experience or coursework in data science techniques (causal inference, machine learning fundamentals) beyond core analytics.
- Background at a high-growth operational company (e.g., logistics, marketplace, or on-demand services).
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 $172,000-$212,000 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.
Staff Product Analyst, Operations in York employer: Hover
At Hover, we pride ourselves on being an exceptional employer that fosters a culture of curiosity, inclusivity, and high performance. Our commitment to employee growth is evident through our comprehensive benefits, including unlimited PTO, generous family leave, and support for continued education. Located in vibrant hubs like San Francisco and New York City, we offer a collaborative environment where you can thrive while making a meaningful impact on the future of property technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Product Analyst, Operations in York
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We think you need these skills to ace Staff Product Analyst, Operations in York
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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