Data Analyst - Finance

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

Segnala l'annuncio