Senior Data Analyst - Product

Overview Senior Data Analyst - Product at Satispay shapes the data backbone of the domain, turning behavior into actionable product insights. You'll partner with product, design, and engineering to define KPIs, run experiments, and monitor performance.

You'll build self-service dashboards and AI-powered workflows to accelerate analysis. This role offers visibility to executives and impact on how features drive adoption, retention, and monetisation. Retribuzione / Benefits private insurance for you and your family Serenis psychological support Stock Option Plan relocation support professional development programs internal mobility and language courses with Preply Responsabilità Define, maintain, and evolve domain KPI framework across activation, adoption, usage, retention, monetisation, risk and cost signals Conduct deep dives on user behaviour to identify drop-offs, patterns, and unmet needs, delivering prioritised recommendations Shape experimentation roadmap with PMs/designers, establish hypotheses, metrics, sample sizes, and interpret results for product impact Size opportunities, build business cases, and measure post-launch impact for new features and releases Develop dashboards/reports (Hex, Looker, or similar) for real-time visibility into launches and performance Collaborate with Product, Design, Engineering, and Operations to translate data into actionable recommendations for stakeholders Design and implement AI-powered workflows to automate recurring analyses and improve exploration speed Own end-to-end analytical projects from framing problems to delivering recommendations Support cross-functional decision-making with clear, data-backed insights for senior stakeholders Requisiti fondamentali 4+ years in product analytics, data analytics, or BI roles, preferably in consumer app/fintech/payments with high-volume event data Strong command of funnel, cohort, retention, and segmentation analysis; experience with lifecycle metrics (Acquisition, Activation, Retention, Monetisation) Experience designing and analysing A/B tests with clear readouts for non-technical stakeholders Proficiency in SQL and Python; experience with dbt, Git, and notebook-based analytics (Hex, Databricks, Jupyter) is a plus Experience with data visualization tools (Hex, Looker) for self-service dashboards AI fluency; comfortable with AI tools and basic Claude/API interactions; ability to leverage automation for analytics Strong problem-solving skills, ability to operate with ambiguity, and end-to-end ownership of projects Excellent stakeholder management and communication, able to translate technical findings for senior audiences collaborative detail-oriented ownership SQL Python dbt

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