Data Analyst - Product
FINN
IT, Product, Data Science
Munich, Germany
Posted on Dec 6, 2024
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 a Data Analyst in Product, you will be at the forefront of transforming FINN’s offering through data-driven insights. Your analytical expertise will empower our product organisation to drive FINN’s growth in a fast-paced, dynamic environment. You will leverage advanced analytics tools and techniques to uncover trends, predict outcomes, and provide actionable recommendations as well validate decisions impact. 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 improving our FINN experience.
Why FINN?
- 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.
- Competitive fixed salary and virtual equity share of the company, along with a yearly personal development budget of 1,500€ and an attractive company pension scheme.
- Visa and relocation support for you and your family.
- Access to discounted gym memberships and attractive mobility options (e.g. discounts for FINN cars via JobAuto or tax benefits via JobRad).
Your Responsibilities
- Drive Product Strategy with Insights: Collaborate closely with Product teams and Product leadership to understand and shape product strategies using actionable insights from user behavior. Identify key problems, refine hypotheses, analyze relevant data, and present findings that enable better product and design decisions.
- Experimentation and Evaluation: Design and conduct thorough experiments, including A/B tests, to generate findings and measure the effectiveness of our offering. Analyze the results to ensure accurate decisions are made and share learnings to inform future developments.
- Craft Compelling Narratives: Transform complex data into visually stunning dashboards and reports that tell a clear status and allow actionable insights. You have the ability to support & influence product in making critical decisions.
- Be a data evangelist: You use your understanding of funnels, user behaviors, and long-term trends in the adoption of our products to identify opportunities for step and angle changes in growth.
Your Profile
- Graduating with a Master’s degree in a relevant data field of study, PhD is a plus.
- 2+ years of professional experience in data and 1+ year in the product area with a track record of successfully influencing Product decisions.
- Previous experience in digital product companies or e-commerce environments selling directly to consumers.
- Advanced SQL modeling with good understanding of modern data stack and effective data warehousing. Experience working with dbt is a plus.
- Proficiency in applying statistical analysis (e.g. hypothesis testing, regression analysis, correlation, etc).
- Good Python skills with relevant libraries (scikit-learn, pandas, etc) as well as notebooks.
- Proficiency in data visualization with Looker (or similar BI tool).
- Basic understanding of frontend engineering is a plus.
- Fluent in English.
Interested in Joining Our Fast-Growing Startup?
Please upload your CV and transcripts online. Alex 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.
