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.
About the role
We are seeking a Senior Data Analyst to join our Operations Analytics team in Barcelona. You will partner closely with Rover’s Operations org, driving initiatives and supporting analytics towards furthering Rover’s customer experience. This is a high-visibility role involving direct collaboration with a diverse set of stakeholders to define, measure, test and improve the success of customer experience programs and product developments. A key component of this position will be providing product analytics support for our Bookings Confidence team, which aims to tackle customer service improvements through product developments.
Your Responsibilities
- Thought Partnership: Serve as a strategic partner and advisor to product managers and business leaders, making data-driven recommendations on optimization strategies within customer experience.
- Experimentation: Partner with Product Managers, designers and engineers to design and conduct rigorous experiments in support of product developments.
- Strategic Planning & Measurement: Partner with Ops Program leadership to define the strategy for measuring program health and operational performance, including establishing comprehensive metrics, developing crisp reporting, and setting up monitoring rhythms.
- Performance Analysis: Conduct in-depth analysis of key CX (Customer Experience) operational metrics to identify emerging trends and opportunities, which will inform deeper research and analytical efforts.
- Executive Communication: Develop and present crisp narratives resulting from analytics findings and investigations to senior Operations leaders, focusing on both identified problems and proposed solutions.
- Data Infrastructure Support: Support the construction and maintenance of our core reporting abstractions (built in dbt), BI reporting and AI semantic layers.
Compensation
- In the greater Barcelona area the first-year salary range is €47,124 - €60,319. Additionally, Rover offers a long-term incentive plan with a company performance-based cash payout and 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.
Benefits of Working at Rover.com
- Long-term incentive plan with a company performance-based cash payout
- Pension plan
- Private medical insurance
- 25 days PTO
- Meal allowance and flexible compensation plan (transport and nursery)
- Gym membership
- €450 to cover the costs associated with the adoption of a pet
- Annual €150 wellness reimbursement
- 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, events, game nights, and more
- Dog-friendly office
What we're looking for (must-haves)
- At least 4 years experience working cross-functionally with complex datasets to support organizational decision making.
- Hands-on experience running A/B tests and experiment design.
- 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 receiving stakeholder questions and independently translating them into clear, actionable analytical problems to solve, all with relative autonomy.
- 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.)
- Strong proficiency with SQL. You would feel confident reviewing code produced by other analysts and data scientists
Nice to Have
- Master’s degree in a quantitative field OR on the job experience with applied statistics.
- Ability to code in Python/R
- Hands on experience leveraging AI tools for analytics
- Hands-on experience working with customer service tool data sets (e.g., Zendesk)
- Hands-on experience in workforce forecasting
