Senior Data Analyst, Rover

• The ideal candidate is a passionate problem-solver who comfortably translates ambiguous business challenges into clear questions, deep analysis, and strategic recommendations that drive action
• 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:

Desirable

• 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
• You’ll be joining an international team, reporting to a Barcelona based Analytics manager, with colleagues and stakeholders split between Barcelona and Seattle
• 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