Senior Product Analyst
Who We Are: At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. Headquartered in Seattle and Barcelona, we’re a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We’re investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. At Rover we’re committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us.
Your Responsibilities: Design, run, and read out experiments for the Pricing Experience team, with a focus on geo and market-level tests. Use the results to recommend which changes to move forward with, even when the data is ambiguous.
Partner with the Pricing Experience PM and Data Scientist to find and size opportunities and help shape the roadmap, including building analyses like elasticity models.
Present findings and recommendations to senior leadership and the product organization.
Be the analytics point of contact for price-related data, and track how it affects key marketplace metrics.
Your Qualifications: 5+ years of experience in analytics.
Experience designing and analyzing A/B tests and quasi-experiments, with a working knowledge of causal inference methods (e.g. difference-in-differences, synthetic control).
A track record of owning analyses end to end in ambiguous or new areas where metrics weren't already defined, and using data to influence product decisions.
Strong written and verbal communication, with the ability to explain complex or ambiguous findings clearly to technical and non-technical audiences.
Strong SQL and Python skills, plus experience with BI visualization tools.
Regular, effective use of LLM tools in your analytics work.
Nice to have: Robust experience with agentic AI tools (e.g. Claude Code) in your day-to-day work.
Prior experience with pricing analytics.
Prior experience in a two sided marketplace.
Familiarity with modern data tools and event-based datasets (e.g. Amazon Redshift, dbt, Statsig, Amplitude).
Benefits of working for Rover: Competitive compensation
401k match
Flexible PTO
Competitive benefits package, including medical, dental, and vision insurance
Commuter benefits
Bring your dog to work (and unlimited puppy time)
Doggy benefits, including $1000 toward adopting your first dog
Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly
Regular team activities performed in-person and virtually
Compensation: In the greater Seattle area the first-year salary range is $129,139-171,755. Additionally, Rover offers benefits to full-time employees.
The cash compensation offered for this role will be dependent on the candidate's experience, qualifications, skills, and abilities as demonstrated in the interview and hiring process.
Rover is an equal opportunity employer committed to promoting a diverse, inclusive and inventive environment with the best employees. We’re driven by seeing our people succeed and grow, and we work to ensure everyone contributes to their fullest potential. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, protected veteran status, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable laws, regulations and ordinances.
We are committed to work with you to look for reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.