Data Analyst - Finance
Pubblicato il 15-09-2026 - Satispay in Milano
Overview As a Data Analyst within Growth & Marketing, you will lead analytics for Finance initiatives, turning data into actionable insights. You’ll build financial analytics, KPI frameworks, and self-service assets to support planning, reporting, and executive decision-making. You will serve as the analytics partner for investor relations and collaborate with Finance, Marketing, Operations, and Product. You’ll create impactful dashboards and models and explore AI-powered workflows to improve efficiency. This role offers visibility across leadership and a chance to shape financial strategy at scale.
Retribuzione / Benefits
Health insurance for you and family Stock Option Plan Relocation support Professional development programs Hybrid working policy Unlimited PTO
Responsabilità
Develop P&L; and cash flow analytics, plan vs. actual monitoring, and KPI frameworks for Finance Serve as analytics lead for investor relations, translating performance into data-driven narratives Partner with Finance, Marketing, Operations, and Product to translate data into recommendations Create dashboards and reports to communicate financial insights for self-service and leadership Develop monetisation, unit economics, LTV, payback,
cost structure, and revenue driver analytics Design AI-assisted workflows to automate anomaly detection and budgeting processes Contribute to data layer evolution by designing financial data models and pipelines for a federated data strategy
Requisiti fondamentali
5+ years in data-related roles (Data Engineering, Data Analytics, BI) Hands-on experience with Finance, FP&A;, or Controlling functions a strong plus Financial data modelling experience with P&L; and cash flow analytics Experience with ERP data schemas (e.g., SAP) and transforming financial data for analytics Proficiency in SQL, dbt, and Python; Git and notebook-based analytics a plus Experience with data modelling and ETL for high-volume financial data AI fluency for analytics and ad-hoc analyses; basic to mid-level Claude proficiency a plus Strong problem-solving and end-to-end project ownership Excellent stakeholder management and ability to communicate to senior leaders Knowledge of consumer lifecycle metrics and monetisation KPIs (ARPU, CAC, LTV, Payback) problem-solving attention to detail ownership SQL dbt Python