At Rover, everyone has ownership of their work and the opportunity to make a true impact. We believe that being diverse and inclusive is key to our success and encourage every employee to share their unique perspective while being their true self.

We believe everyone deserves the unconditional love of a pet, and Rover exists to make it easier to experience that love. We’re supporting dog owners and empowering dog sitters to run thriving pet-care businesses in your neighborhoods. 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.

The Marketing Analytics team supports the company’s marketing efforts, while also working with teams throughout the organization. The analytics team is responsible for a number of business-critical reports and data models that our global marketing teams rely on for daily reporting, budgeting, and analysis. We measure marketing attribution to understand how people become Rover customers, provide campaign reporting to monitor trends in cost efficiency and optimization, deliver CRM data to action against a variety of customer behaviors, and narrate the business to identify and prioritize new opportunities.

We are specifically looking for a Senior Business Analyst to single-handedly support our Customer Retention Marketing and Blog programs, which have touch points with 5-6 million unique users monthly. This analyst will act as a trusted thought partner to marketing stakeholders with a focus on overhauling data infrastructure, driving measurable outcomes, optimizing our brand content strategy, and scaling cross-sell programs across our many customer engagement channels. They will also bring substantial analytical experience to help up-level their domains as well as other domains within marketing analytics.

Your Responsibilities:

• Build the CRM data infrastructure from the ground up – defining our measurement strategy (A/B tests, rotating holdouts, etc.), building conversion-based datasets for near-real-time customer interactions, and facilitating an expansion into push notifications and paid reactivation campaigns
• Partner with our global brand team to optimize our brand content across multiple channels, including email, blog, and organic channels.
• Lead the cross-sell analytical functions for our email and blog programs, expanding the reach of our brand voice to new target audiences.
• Level up the entire analytics organization by improving statistical rigor, experimentation throughput, modeling expertise, and mentoring less senior analysts on the team

Your Qualifications:

• At least 6 years experience working cross-functionally with complex datasets to support organizational decision making.
• Fluency in SQL. You would feel confident reviewing code produced by other analysts and data scientists, as well as assisting non-technical colleagues with their reports in an office hours setting
• Hands-on experience running A/B tests as well as expertise in statistical analysis
• Substantial experience processing large data sets at scale. This could include languages like Python or R, as well as frameworks like Spark, Hive, or dbt
• Excellent verbal and written communication skills. Specifically, you know how to narrate models and results to business partners in a useful, concise, and meaningful way
• Experience working with cross-functional business partners to define business problems, scope project deliverables/timelines, implement reporting solutions, and frame organizational strategy.
• You prioritize your work on impact to the business and can gracefully push back on stakeholders

Nice to have:

• Two-sided marketplace and/or marketing analytics experience
• Understanding of digital touchpoints and measurement mechanisms
• Marketing analytics with a focus on customer lifecycle marketing
• Experience with AWS (Redshift, S3, EMR)
• Understanding of modeling techniques, such as linear regressions, causal impact models, and bootstrapping. You know the trade-offs of each of these models and can propose the right model for the test at hand