OverviewIn this role you partner with the VP of a global Customer Success business line to build and scale analytics across 13 markets.
You own dashboards, data models, and analytics that inform decisions and growth, while increasingly incorporating predictive modelling and AI-powered insights.
You'll bridge business needs with data platforms, BI, and Product Analytics to drive strategic experiments and improvements.
This is a high-impact, cross-functional role in a fast-moving, integral team.
Compensaciones / BeneficiosHealthcare insurance
Wellness programs
Generous time off
Local perks (meal vouchers, transport allowances)
Career growth opportunities
Remote work and flexible hours
ResponsabilidadesBuild and maintain recurring reporting, dashboards (Tableau, Superset) and data models for the designated business line
Create automation that scales across markets and ensure alignment with BI standards
Develop analytical models including statistics, regression, and forecasting; prototype MVPs for new use cases
Adopt AI-first approaches to querying, coding, and analysis; contribute to reusable code and libraries
Act as the translation layer between the business line and data teams (BI, Data Platform, Product Analytics)
Lead deep-dives to explain not just what happened but why, and what next
Propose, run,



and analyze experiments (A/B tests and beyond) to inform decisions
Prioritize workload, triage requests, and align with stakeholders on priorities and timelines
Escalate cross-team trade-offs to manager and ensure project alignment with business priorities
Collaborate directly with VP and leadership to surface opportunities and improve performance
Requisitos principalesDegree in a quantitative field (Engineering, Statistics, Mathematics, Physics, or similar) +3-5 years analytics experience as an individual contributor
Very good SQL skills (BigQuery preferred); solid Python for statistical/predictive modelling
Working knowledge of statistical modelling (regression, forecasting, A/B testing)
Hands-on experience with Looker and/or Tableau; ability to build dashboards for non-technical audiences
Ability to digest complex data into clear business language and narrate insights
Experience working cross-functionally with non-technical stakeholders
Professional fluency in English; Spanish is a plus
Proactive by default
Owner mindset with accountability
Strong prioritisation and time-management
SQL (BigQuery)
Python for statistics/predictive modelling
Statistical modelling (regression, forecasting, A/B testing)

📌 Senior Data Analyst (Barcelona)
🏢 Docplanner
📍 Barcelona