Your Responsibilities
Generate data-driven insights: Perform in-depth data analyses to understand operational patterns, capacity dynamics, and resource utilization, delivering actionable insights that drive efficiency improvements.
Build and validate proof-of-concepts: Develop POCs for innovative operational strategies, test and validate their impact on key performance metrics.
Design and own advanced optimization models: Create and maintain forecasting and optimization models using machine learning and operations research techniques to ensure scalable and efficient operations.
Shape and evolve operational strategy: Leverage your analytical expertise to refine and enhance FINN's operational processes, ensuring alignment with growth targets and business objectives.
Collaborate: Partner with other data and tech teams as well as operations stakeholders in a cross-functional setup and align your work with business objectives.
Your Profile
- Graduated with a Master's degree in a relevant data field of study (e.g., Industrial Engineering, Data Science, Statistics, Applied mathematics), a PhD is a plus.
- 3+ years of professional experience in operations-heavy environments (preferably logistics, supply chain, mobility, or e-commerce fulfillment).
- Technical expertise: Proven track record in data and time-series analysis, statistical modelling, and implementing forecasting and optimization models from scratch.
- Proven experience integrating AI tools (e.g., Claude, Cursor) into your daily analytics workflow to write code, explore data, and ship work.
- Proficient in Agentic development.
- Proficient in the data stack: SQL, Python, GCP.
- Operations & optimization expertise: Experience in building and deploying capacity planning, resource allocation, or logistics optimization solutions end-to-end.
- Stakeholder engagement: Skilled at presenting technical concepts to non-technical audiences, including C-level.
- Problem-solving: Exceptional ability to break down complex operational problems and develop data-driven solutions.
- Flexibility: Comfortable working in a fast-paced environment and adapting to changing priorities – operations doesn't wait.
- Fluent in English. German is a plus.
Why FINN?
- Remote Work: You have the flexibility to work either in our Munich office or remotely in Germany.
Shared Success (VSOP Equity Program): We win together. Through our Virtual Stock Option Program, you benefit directly from the long-term growth and success of FINN.
Fuel your Growth (3.000€ Development Budget): Standing still is not an option. With your annual development budget for further training and seminars, you decide how you want to grow personally and professionally.
Family First (Childcare Subsidy & Flexibility): We support you and your family. Benefit from a monthly childcare subsidy, exclusive access to daycare spots in Munich, and maximum flexibility to balance work and family life stress-free.
Company Pension Scheme (bAV): We think about your future. FINN subsidizes your company pension plan with a strong employer contribution of 66%.
Experience our Product (25% Car Subscription Discount): Become a FINN driver yourself! You will receive a generous employee discount or can alternatively take advantage of our attractive bike leasing scheme.
Health & Mindset (Sports & Wellbeing): Your energy is our drive. Benefit from a subsidized EGYM Wellpass membership for fitness and sports, as well as professional mental health support.
Munich Office Life: Barista-style coffee, matcha, and a luscious fruit basket await you at our modern headquarters in Munich. On top of that, there is a daily lunch subsidy for those in the office.
Team Spirit & Corporate Events: We are more than just colleagues. Whether it's summer events by the lake or simply a relaxed after-work drink, we celebrate our milestones together at regular team events.
FINN is Germany’s leading car subscription platform and one of the country's few unicorns in the mobility sector. With over 400 colleagues from more than 50 nations, we are building the future of mobility and making access to your own car more seamless than ever before.
What truly makes us proud, however, isn’t just the numbers, but what lies behind them: our strong team drive, the will to challenge the status quo, and the ambition to make a real difference.
With us, you have the opportunity to take on direct responsibility in one of the fastest-growing scale-ups in Germany and actively shape our success story. We´re just getting started!
More information: www.finn.com
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.
Come on board and become part of our Hyper-Growth Story! Your first point of contact is Anna - we keep things moving fast and guide you every step of the way. Everything you need to know about our hiring process and company culture is in our Careers @ FINN booklet.
Skills Required
- Master's degree in a relevant data field
- 3+ years of professional experience in operations-heavy environments
- Proficient in SQL, Python, GCP
- Experience in data and time-series analysis
- Experience in building optimization models from scratch
What We Do
At FINN our mission is to make mobility fun and sustainable: We help everyone who loves driving their own car but refuses the struggle, commitment and nontransparent costs associated with car ownership. We achieve this by offering all-inclusive, immediately available, monthly car-subscriptions. Best thing, yet: While you drive we plant trees as every journey is CO2 compensated.
Why Work With Us
At FINN we strive to make mobility fun and sustainable by bringing a true e-commerce experience to car ownership and offsetting all CO2 emissions along the way. Join our dynamic and fast-growing team to build the most popular auto e-commerce platform as we launch new product lines and expand internationally.
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