Your Responsibilities:
- Build the lifecycle 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.
- Own the cross-sell analytical functions for our email and blog programs, growing the reach of our brand voice to new target audiences.
- Influence the global strategy of your partner teams by crafting and refining key performance indicators that measure the health of our business
Your Qualifications:
- At least 4 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
- Familiarity with programming in Python or R.
- 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
- Meaningful experience processing large data sets at scale. This could include languages like Python or R, as well as frameworks like Spark, Hive, or dbt.
- 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
Benefits of working at Rover:
- Competitive compensation
- Long-term incentive plan with a company performance-based cash payout
- Permanent contract
- Pension plan
- Meal tickets through Cobee
- Generous PTO allowance
- Private health insurance
- Discounted gym membership
- Bring your dog to work (and unlimited puppy time)
- Monetary help for adopting a dog or cat plus yearly credit to use on our platform
- A wide variety of snacks, fresh fruit, and beverages in our kitchen to keep yourself going
- Regular team activities, including happy hours, game nights, and more
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What We Do
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.






