Senior Data Analyst - Product
OverviewSenior 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 / Benefitsprivate insurance for you and your family
Serenis psychological support
Stock Option Plan
relocation support
professional development programs
internal mobility and language courses with Preply
ResponsabilitàDefine, 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 fondamentali4+ 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
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 / Benefitsprivate insurance for you and your family
Serenis psychological support
Stock Option Plan
relocation support
professional development programs
internal mobility and language courses with Preply
ResponsabilitàDefine, 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 fondamentali4+ 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