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Data Analyst - Finance

Satispay

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
Offerta di lavoro pubblicata 3 giorni fa
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