About the role

Senior Analyst at Rover focusing on Data Modeling and Marketing Attribution. Ensuring robust data models for Marketing Analytics in Barcelona with a hybrid working approach.

Responsibilities

Own Marketing Attribution: Serve as the custodian of our attribution logic. You will maintain and refine our models to ensure the business understands how provider and owner strategies compound to drive New and Repeat bookings, constantly looking for ways to improve our measurement accuracy.
Architect the Reporting Suite: Tackle technical debt head-on by modernizing our reporting infrastructure. You will own the migration of critical business reports to our BI tools, designing clean, SQL-heavy calculations that serve as the "single source of truth" for Lifecycle Marketing and leadership.
Scale Experimentation Operations: Unblock the team on testing by operationalizing our experimentation framework. You will manage the transition to new tools (like Statsig), create SQL templates for test analysis, and conduct code reviews to ensure statistical rigor across the team.
Enable Advanced Analytics: Partner with our Data Scientists to perform Exploratory Data Analysis (EDA) and build robust data models. By ensuring our data foundation is solid, you will free up the team to focus on high-impact predictive modeling (LTV, Churn) and strategic deep dives.

6+ years of experience in Analytics or Analytics Engineering, with a specific focus on Marketing or Growth data.
Expert-level SQL proficiency. You don't just write queries; you write performant, readable code for complex data modeling, window functions, and heavy calculations within BI tools.
Deep understanding of Marketing Attribution logic. You have experience building, interpreting, or maintaining models that track user journeys across multiple touchpoints (Acquisition vs. Retention/Repeat).
Experience with Data Modeling and creating "Gold Layer" datasets that allow other analysts and stakeholders to self-serve easily.
Strong knowledge of experimentation logic. You understand how to set up data structures to track control vs. variant groups and check for sample ratio mismatches.
Proven ability to manage technical projects from end-to-end, such as migrating reports between tools or auditing tracking setups.
Communication skills that allow you to translate complex data engineering concepts into benefits for non-technical marketing stakeholders.

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