Senior Data Analyst - Operations (m/f/x)
Senior Data Analyst - Operations (m/f/x)
Senior Data Analyst - Operations (m/f/x)
Senior Data Analyst - Operations (m/f/x)
FINN
Fahrzeugvermietung
München
- Art der Beschäftigung: Vollzeit
- 60.500 € – 81.000 € (von XING geschätzt)
- Vor Ort
- Aktiv auf der Suche
Senior Data Analyst - Operations (m/f/x)
Über diesen Job
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 and is passionate about using data to support strategic decisions.
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.
- 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.
- Fluent in English. German is a plus.
€73,000 - €84,000 a year
Senior Data Analyst €73,000 - €84,000
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.