FINN drives change for people, organizations and the planet through frictionless mobility. Offering convenient and flexible car subscriptions, we bring a true e-commerce experience to car ownership and accelerate the arrival of electric mobility. Join our fast-growing scale-up to make FINN the natural choice in Germany. We work with the best car brands in the world and are backed by leading global investors. 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 and is passionate about using data to support strategic decisions., * 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.

Do you have experience in Python?, Do you have a Master's degree?, * 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.
• Proficiency in data visualization with Looker (or similar BI tool).
• Proficiency in applying statistical analysis.
• Advanced SQL modeling with strong understanding of modern data stack and effective data warehousing as well as solid experience with dbt (Data Build Tool).
• Python skills with strong willingness to learn more.
• Fluent in English. German is a plus.

• 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., Factors that may influence an employee's pay within this range include, but are not limited to, their experience, skills, qualifications, certifications, education level, seniority, and performance. The compensation for this role will be within the range of €73,000 to €84,000 + VSOP, depending on the factors described above, as assessed during the interview process. This is the lowest and highest salary that we in good faith believe to be fair for this role at the time of this posting. This compensation range may be subject to change in the future. 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. If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.