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