Описание: Rover connects pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. The company builds safe, personalized experiences tailored to the needs of each pet.Задачи: Guide bidding and investment across brands by evaluating spend allocation, marginal returns, customer lifetime value, and paybackHelp SEM teams assess cross-brand cannibalization and identify where additional spend generates incremental growthDesign and analyze channel tests, geo-split experiments, and multibrand tests; select methods, assess statistical power and uncertainty, and turn results into recommendationsDiagnose changes in acquisition cost, conversion, and return on ad spend; translate auction dynamics, customer behavior, and marketplace conditions into actionable recommendationsReconcile platform and internal measurement, distinguish attributed results from incremental growth, and build trusted dashboardsPartner with engineering and Data Science on data quality, conversion signals, and customer-value inputsOwn the SEM analytics roadmap, identify important questions,



challenge assumptions, and prioritize by business impactBuild learning agendas for different markets and lead stakeholders toward evidence-based decisions with clear trade-offsMentor analysts, review SQL and analytical methods, and develop reusable tools and documentationBalance statistical rigor with business needsТребования: 6+ Years of analytics experience, with a track record of turning complex analysis into business decisions and measurable outcomesAdvanced SQL and strong statistical analysis skills in Python or R, including reviewing others' code and collaborating with engineering on data modelsProven experimental design and A/B testing experience, including applying causal inference or geo-based methods and explaining their limitationsExperience independently leading large analytical initiatives, managing stakeholder expectations and timelines, and influencing strategy across functionsClear

📌 Data Analyst In Sem (Barcelona)
🏢 Rover.Com
📍 Barcelona