Director of Analytics

Key responsibilities

Lead and develop Rover's Product Analytics team, including analysts and analytics managers, with a focus on judgment, technical depth, and business impact

Set the analytics agenda for the product organization and connect it to company priorities, marketplace health, customer experience, and long-term growth

Partner with Product, Design, Engineering, Marketing, Operations, and executive leaders to identify the highest-value questions, frame tradeoffs, and shape roadmap and operating decisions

Establish clear metric frameworks for product and marketplace performance, including definitions, instrumentation expectations, reporting standards, and regular readouts for leaders

Raise the bar for experimentation at Rover: guide test design, statistical rigor, interpretation, and follow-through so experiments inform real decisions

Stay close to the technical work by reviewing analyses, writing or reading SQL as needed, pressure-testing assumptions, and coaching the team on better analytic methods

Work with Data Engineering and Data Infrastructure to improve data quality, modeling, tooling, and self-service access for product and business teams

Build the habits that help analytics drive change across the company, from stronger narratives and decision forums to better education for non-analytics partners

Hire, coach, and grow a team that can balance deep analysis with pragmatic business judgment

Qualifications

10+ years of experience in analytics, data science, or a closely related field, with significant time supporting product, growth, marketplace, or consumer technology teams

5+ years of experience leading analytics teams, including experience managing managers and developing senior individual contributors

Strong product and business judgment; you can move from customer behavior to company-level implications without losing the details

Expert-level SQL and fluency with a modern analytics stack, including data warehouses, BI tools, product analytics platforms, and experimentation tools

Comfort writing analysis code in Python, R, or a similar language when the work calls for it

Deep understanding of experimentation, metric design, causal reasoning, and the common ways analyses can mislead decision-makers

Experience improving data foundations, including event instrumentation, metric definitions, data quality, and analytics workflows

A track record of influencing senior stakeholders and changing business or product direction through clear analysis and strong communication

Experience hiring, coaching, and raising technical standards for analysts and analytics managers

Marketplace, e-commerce, subscription, or other scaled consumer product experience is strongly preferred

An advanced degree in a quantitative field is helpful, but not required