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Senior Data Analyst - Operations (m/f/x)

Job description

About FINN
 
FINN is an independent platform for car subscriptions from over 30 brands. Subscribe to a car with just a few clicks and it will be delivered directly to your doorstep in just a few days: FINN offers a carefree service and handles insurance, financing, registration, taxes and maintenance. FINN also funds climate action by supporting certified climate protection projects and thus offsets the carbon footprint of every vehicle of all drive types – from production to every mile driven. 
FINN was founded in Munich in 2019. The mission: to have a positive impact on people, organizations and the planet through frictionless mobility.
More Information: www.finn.com/
 
Your Role 
 

As Data Analyst in Operations at FINN, you will be at the heart of driving our business operations through data-driven insights. By leveraging advanced analytics tools and techniques, you will uncover trends, forecast outcomes, and provide actionable recommendations that validate the impact of strategic decisions. This role is perfect for a proactive problem solver who thrives in a data-rich environment. We’ve fully embraced AI-assisted development to amplify our impact, and we’re looking for a teammate who is excited to build and innovate using modern, AI-driven workflows too.


Why FINN?
  • Flexibility to work either in our Munich office or remotely within Germany.
  • With massive growth potential, FINN allows you to quickly develop and succeed in a highly motivating startup environment with ambitious challenges in cross-functional teams.
  • Relocation support for you and your family. 
  • Excellent fixed salary, significant virtual equity share of the company, along a yearly personal development budget of 1,500€.
  • Flexible working hours, Kindergarten and daycare allowance (up to 300€ per child per month) for employees working in Germany.
  • Access to discounted gym memberships and a range of attractive mobility benefits – from exclusive deals on FINN cars to other flexible commuting options.
  • An open-minded community to be welcomed from day one and fun team events with amazing colleagues.

  • Your Responsibilities
  • Be a Domain Expert: As a domain expert, lead in-depth and advanced analysis of Operations data to uncover actionable insights that elevate performance and drive strategic decisions in areas like logistics, customer service, damage management, and risk assessment.
  • Own the semantics of Operations data: As the authority on Operations metrics, you ensure a unified data language across the domain. By standardizing key terminology, you enable deeper insights and faster decision-making for accelerated growth and improved operational efficiency and customer satisfaction.
  • Craft Compelling Narratives: Transform complex data into visually stunning dashboards, reports and appealing data stories that tell a clear status and allow actionable insights.
  • Be a Data Evangelist: Partner with cross-functional business, tech teams and data teams to continuously enhance data processes and tools, ensuring every move is backed by cutting-edge analytics.

  • Your Profile
  • Graduated with a Master’s degree in a quantitative field of study.
  • 3+ years of professional experience in data analytics with a focus on Operations Domain at a scaleup.
  • Advanced SQL modeling with dbt (Data Build Tool).
  • Proficiency in data visualization with Looker (or similar BI tool).
  • Proficiency in applying statistical analysis.
  • Python skills with strong willingness to learn more.
  • Proven experience integrating AI tools (e.g., Claude, Cursor) into your daily analytics workflow to write code, explore data, and ship work.
  • Fluent in English. German is a plus.
  • Interested in Joining Our Fast-Growing Startup? 
    Please upload your CV and transcripts online. André and Anna are looking forward to your application!
     
    Equal Opportunities for Everyone
    FINN is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive environment for all employees. We are open to all groups of people without regard to age, color, national origin, race, religion, gender, sex, sexual orientation, gender identity and/or expression, marital status, or any other legally protected characteristics.

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