Business Analyst - Operations Analytics - Rover

Want to make an impact? Join our pack and come work (and play!) with us.

We believe everyone deserves the unconditional love of a pet—and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover with the tools and security of a global company to back them.

Headquartered in Seattle, Washington, we work closely with our teams in Barcelona, San Antonio, Spokane, and remote locations. We’ve got a reputation for being 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. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies. 

At Rover, our furry coworkers are just as important as our human ones—and we wouldn’t have it any other way. Along with making the joys of pet parenthood more accessible, we’re committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees.

We are specifically looking for a Business Analyst III to partner closely with Rover’s Trust and Safety Sr. Leadership to help make Rover a safer community for pet parents and sitters. This will be a high visibility role, partnering directly with a diverse set of stakeholders to determine how to measure and improve T&S program success. Additionally this role will own analytics support and strategy for Rover’s account safety / fraud mitigation program. This role will require a unique skillset - the ideal candidate should be very comfortable turning ambiguous business problems into crisp requirements, and in turn using those to build creative data products meeting a niche business need. The ideal candidate should be a builder - someone who is eager to start from nothing and build an excellent analytics support program for an underserved but extremely important part of the business.