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Data Analyst

Found By Few

Köln

Remote

EUR 60.000 - 72.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Join an innovative consumer health-tech startup making a difference in the lives of millions. As a Finance Data Analyst, you will play a crucial role in the growth of a rapidly scaling business. Your expertise in SQL and Python (or R) will help analyze complex finance datasets, driving insights that influence key metrics like MRR, ARR, and P&L. This is a unique opportunity to work on a product with millions of users, contributing to a mission that truly matters. If you're passionate about data and want to be part of a forward-thinking team, this role is for you.

Qualifikationen

  • Experience analysing MRR, ARR, P&L or subscription models in a tech first business.
  • Solid understanding of statistical concepts and data visualisation techniques.

Aufgaben

  • Analysing and interpreting complex finance datasets to extract meaningful insights.
  • Developing and maintaining robust data models for finance reporting and analysis.

Kenntnisse

SQL
Python
R
Statistical concepts
Data visualisation techniques

Jobbeschreibung

Location : Germany, UK, Portugal, or Spain

Remote First

Salary : Up to €72,000

Join a consumer health-tech startup, already having a significant impact on the well-being of millions. As a Finance Data Analyst you'll have a significant impact on the growth of an already fast scaling business.

Your Responsibilities :

  • Analysing and interpreting complex finance datasets to extract meaningful insights about things like MRR, ARR and P&L.
  • Developing and maintaining robust data models for finance reporting and analysis.

You will need :

  • SQL and Python (Or R)
  • Experience analysing MRR, ARR, P&L or subscription models in a tech first business.

You Should Apply if :

  • You want to work on a product with millions of users already with a mission worth getting behind.
  • You have a solid understanding of statistical concepts and data visualisation techniques within a finance data context.
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