Senior Data Analyst - Operations Analytics
Description
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. 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 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 Master's degree in a quantitative field OR on the job