Build and own the analytical framework used by leadership to evaluate B2 B trade-offs Define a long‑term measurement framework identifying structural growth levers Lead retention and cohort analyses for B2 B leadership Turn analytical findings into pricing, product, or lifecycle recommendations Own impact modeling and scenario analysis for major B2 B product initiatives Support quarterly and annual planning through forecasting, trade‑off analysis, and risk assessment Own B2 B metric definitions and governance Resolve conflicting metric definitions and maintain a single source of truth Design the experimentation and analytics agenda Define testing approaches and success measures Analyze experiments to determine initiative impact Partner with Directors and VPs across product, operations,



and engineering to shape B2 B strategy Mentor senior analysts and extend analytical work to company‑level questions when needed Requirements Specific decisions must have occurred because of your analysis, including pricing, resourcing, or roadmap decisions Experience owning a metric or strategic framework required by other teams Experience resolving conflicts between teams over metric definitions Understanding of subscription or marketplace economics Ability to build an LTV or cohort model from scratch Fluent, independent SQL and Python skills Experience reviewing other analysts' code Experience challenging stakeholder requests and reframing the right question Experience building a forecast or scenario model used by a VP Nice to have: background in B2 B Saa S, enterprise, or

📌 Senior Data Analyst –b (Barcelona)
🏢 Preply
📍 Barcelona