Staff Product Analyst, Operations

About the role

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.

Responsibilities

• Design and run statistical analyses and experiments to identify true drivers of operational turnaround time
• Build and maintain reporting and alerting systems that give the team visibility into tool usage and process health across the ops pipeline
• Partner closely with Operations, Finance, and Analytics Engineering to translate findings into action
• Develop an independent point of view on what's driving cost and efficiency, and advocate for it with data
• Lean into AI-enabled tooling and automation to scale the impact of analytics work over time

Requirements

• 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 - 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 - Recurring fitness classes, meditation/mindfulness tools, virtual therapy, and family planning assistance
• Learning - Help covering the cost of management training, conferences, workshops, or certifications

Schedule

Hybrid roles at Hover require employees living within a 50-mile radius of our San Francisco or New York City offices to come in at least three times a week.

Pay

The US base salary range for this full-time position is $172,000-$212,000 annually. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.