> Markdown version of [/jobs/ext/3058578-data-analyst-investments](https://www.wearedevelopers.com/jobs/ext/3058578-data-analyst-investments). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - Investments - **Company:** Jobrapido - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Data Visualization, Python (Programming Language), SQL Databases, Tableau (Software), Data Analytics, Data Management, Looker Analytics - **Published:** September 25, 2026 - **Apply:** https://www.buscojobs.com.es/data-analyst-investments-en-barcelona-ID-373139929 ## About the Role This role offers exposure to experimentation, causal inference, and a chance to influence investment product strategy at a leading European fintech.Compensaciones / Beneficioscompetitive personal development budgetwork from home budgetfitness & wellness discountslanguage appspublic transportationpremium N26 bank account subscriptionResponsabilidadesSet clear, measurable targets and improve forecasting and goal settingServe as internal data expert for product teams and stakeholdersDesign experiments and causal analyses, deliver insights with documentation and clear communicationContribute to a self-serve data platform by collaborating with engineers/peersDevelop dashboards to monitor impact on company OKRsImprove data literacy through training and workshopsCollaborate with cross-functional analytics teams across N26Support discovery of new product ideas and evaluate releases using experimental/observational methodsCoordinate data tracking and ensure data is captured for future evaluationLead quantitative analysis and business discovery for the Investments segmentRequisitos principales3+ years in Product or Analytics, xqysrnh plus 1+ years in Investments/Wealth domainStrong understanding of statistics, including causal inferenceExcellent problem solving and exploratory data analysis capabilityProficient in SQL and Python or RExperience with data visualization tools (Tableau, Metabase, Looker, Superset)Solid presentation and communication skillsExperience with experimentation (A/B testing, multivariate tests)strong communicationcollaborative mindsetdata storytellingSQLPython or Rstatistical analysis and causal inference ## Description OverviewEnvíe su CV y cualquier información adicional requerida después de haber leído esta descripción, haciendo clic en el botón de solicitud.As a Data Analyst embedded in the Investments team, you enable data-driven decisions across our Financial Empowerment domain.You will monitor and analyse product initiatives, applying robust methods to quantify impact and foster a continuous learning culture.You'll work with cross-functional partners to set measurable goals, build a self-serve analytics platform, and deliver actionable insights that steer business outcomes.This role offers exposure to experimentation, causal inference, and a chance to influence investment product strategy at a leading European fintech.Compensaciones / Beneficioscompetitive personal development budgetwork from home budgetfitness & wellness discountslanguage appspublic transportationpremium N26 bank account subscriptionResponsabilidadesSet clear, measurable targets and improve forecasting and goal settingServe as internal data expert for product teams and stakeholdersDesign experiments and causal analyses, deliver insights with documentation and clear communicationContribute to a self-serve data platform by collaborating with engineers/peersDevelop dashboards to monitor impact on company OKRsImprove data literacy through training and workshopsCollaborate with cross-functional analytics teams across N26Support discovery of new product ideas and evaluate releases using experimental/observational methodsCoordinate data tracking and ensure data is captured for future evaluationLead quantitative analysis and business discovery for the Investments segmentRequisitos principales3+ years in Product or Analytics, xqysrnh plus 1+ years in Investments/Wealth domainStrong understanding of statistics, including causal inferenceExcellent problem solving and exploratory data analysis capabilityProficient in SQL and Python or RExperience with data visualization tools (Tableau, Metabase, Looker, Superset)Solid presentation and communication skillsExperience with experimentation (A/B testing, multivariate tests)strong communicationcollaborative mindsetdata storytellingSQLPython or Rstatistical analysis and causal inference