Data Analyst - Operations Analytics

Who we are: 

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.

Who we're looking for:

We are specifically looking for a Business Analyst III to partner closely with Rover’s Customer Experience leadership team as well as our Strategy & Operational Excellence team to help make Rover’s operations more efficient and drive better customer outcomes. This will be a high visibility role, partnering directly with a diverse set of stakeholders to determine how to measure and improve Rovers’s support experience. This role will be responsible for varied deep analyses into strategic business questions that will shape Rover’s customer support strategy. 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 - all with a relative degree of autonomy. 

Your Responsibilities:

• Partner with Operations leadership to determine our strategy for measuring department health and performance, defining comprehensive metrics, developing crisp, well documented reporting and standing up performance monitoring rhythms.
• Work closely with the Strategy & Operational Excellence team to develop strategies that drive operational efficiency, providing robust monitoring and analysis on their performance.
• Serve as strategic partner and advisor to business leaders, responsible for making recommendations on investments and optimization strategies across the Operations department.
• Design and conduct experiments and analysis in support of Operations Scalability product improvements or Operational Process improvements.
• Support the construction of our reporting abstractions (built in dbt).

Your Qualifications:

• At least 4 years experience working cross-functionally with complex datasets to support organizational decision making.
• Excellent verbal and written communication skills. Specifically, you know how to narrate analysis and results to business partners in a useful, concise, and meaningful way.
• You are extremely comfortable with taking ambiguous issues and structuring them into crisp business problems, and using those to develop and execute on a refined project plan with clearly identified deliverables, all with relative autonomy.
• Strong proficiency with SQL. You would feel confident reviewing code produced by other analysts and data scientists
• You have hands-on experience building out data abstractions using tools such as DBT or Airflow as well as a variety of data visualization tools (e.g., Mode, Looker, Periscope, Tableau, etc.)
• You can independently prioritize projects based on return on investment and own the end-to-end project management for our analytics deliverables
• You are excited to help mentor junior analysts

Nice to Have:

• Masters degree in a quantitative field OR on the job experience with applied statistics.
• Ability to code in Python/R is a plus
• Hands-on experience working with customer service tool data sets (e.g., Zendesk)
• Hands-on experience running A/B tests and experiment design 

Benefits:

• Competitive compensation
• Long-term incentive plan with a company performance-based cash payout
• Permanent contract
• Pension Plan
• Meal tickets through Cobee
• Generous PTO Allowance
• Hybrid schedule
• Private health insurance
• Discounted Gym Membership
• Bring your dog to work (and unlimited puppy time)
• Monetary help for adopting a dog plus yearly credit to use on our platform 
• Flexible work hours, sometimes you’ll need to be in at certain times, but on the whole, we’re pretty flexible when it comes to managing workload and time
• Grab snacks, fresh fruit, in our kitchen to keep yourself going 
• Regular team activities, including happy hours, game nights, and more

Location:

• This role is based in Barcelona. We have a hybrid-working environment where all teams come together to the office every Monday and Thursday, and the flexibility to work from home the rest of the week. 
• Candidates must be based in Barcelona (or willing to relocate).
• Applicants must hold the right to live and work in Spain - we do not sponsor visas.

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.