OverviewAs 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 / BenefitsHealth insurance for you and family
Stock Option Plan
Relocation support
Professional development programs
Hybrid working policy
Unlimited PTO
ResponsabilitàDevelop 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 fondamentali5+ 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

📌 Data Analyst - Finance (Milano)
🏢 Satispay
📍 Milano