Lead Data Analyst - Marketing, Search Engine Marketing

Who we are: 

Your impact

• Guide bidding and investment across brands. Evaluate spend allocation, marginal returns, customer lifetime value (LTV), and payback. Help SEM teams assess cross-brand cannibalization and identify where additional spend generates incremental growth.
• Lead experimentation and incrementality. Design and analyze channel tests, geo-split experiments, and multibrand tests. Choose appropriate methods, assess statistical power and uncertainty, and turn results into recommendations on bidding and spend.
• Explain performance and identify opportunities. Diagnose changes in acquisition cost, conversion, and return on ad spend (ROAS). Translate auction dynamics, customer behavior, and marketplace conditions into clear recommendations that lead to action.
• Strengthen attribution and reporting. Reconcile platform and internal measurement, distinguish attributed results from incremental growth, and build trusted dashboards. Partner with engineering and Data Science on data quality, conversion signals, and customer-value inputs.
• Own the SEM analytics roadmap. Identify important questions, challenge assumptions, and prioritize by business impact. Build learning agendas for different markets and lead stakeholders toward decisions grounded in evidence and clear trade-offs.
• Raise the team's analytical standards. Mentor analysts, review SQL and analytical methods, and develop reusable tools and documentation. Balance statistical rigor with business needs.

Your qualifications

• 6+ years of analytics experience, with a track record of turning complex analysis into business decisions and measurable outcomes.
• Advanced SQL and strong statistical analysis skills in Python or R, including reviewing others' code and collaborating with engineering on data models.
• Proven experimental design and A/B testing experience, including applying causal inference or geo-based methods and explaining their limitations.
• Experience independently leading large analytical initiatives, managing stakeholder expectations and timelines, and influencing strategy across functions.
• Clear communicator with technical and non-technical audiences, who is able to shape compelling data narratives through analysis and data visualization.

Nice to have

• Strong understanding of marketing attribution and acquisition economics, including customer acquisition cost (CAC), LTV, ROAS, and payback.
• Experience with multibrand businesses, international markets, or a two-sided marketplace.
• Experience with marketing mix modeling (MMM), customer LTV modeling, or transformation tools such as dbt.
• Experience using AI tooling to move faster on routine work and to check your own reasoning. You can also explain and defend every line of analysis you ship.
Interested? We'd love to hear from you, even if you don't bring every nice-to-have.

Benefits of working at Rover

• 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

Compensation:

In the greater Barcelona area the first-year salary range is €61,858 - €75,163. Additionally, Rover offers a long-term incentive plan with a company performance-based cash payout and benefits to full-time employees.

The cash compensation offered for this role will be dependent on the candidate's experience, qualifications, skills, and abilities as demonstrated in the interview and hiring process.