Data Analytics Manager (m/f/d)
Berlin, Germany
Company Description
Flink is the leading quick commerce player in Europe. We are on a mission to give people back time: You can order your groceries through our app and we deliver to your doorstep in minutes. We carry 2,500 products with a focus on the leading brands in each category. We aim for sustainability by making deliveries on electric bikes and utilizing recyclable packaging.
Flink launched in February 2021 and already operates in more than 80 cities in Germany, and the Netherlands. The business generated more than EUR 400m in revenues in 2022 and is operationally profitable. Flink is backed by the world’s most renowned tech investors, including Prosus, Mubadala, and Bond, and strategic investors like Doordash and REWE. We take great pride in being an inclusive employer that offers equal opportunities, and we celebrate the diversity and multiculturalism of our team. We're growing fast and always pushing ourselves to do better - we play for #1.
In your role as a Data Analytics Manager (m/f/d), you will lead a team of 4-5 embedded Data Analysts working on our core commercial & financial data models. You will be responsible for collaborating with business stakeholders to set the priorities for your team, working with product & engineering to ensure that the right data is captured and collected, and ensuring the team delivers high quality data products.
Job Description
- Hands-on management of our Data Analytics team supporting the Commercial & Finance business units, including performance management and professional development of the team.
- Collaborate closely with Business Stakeholders, Product Managers and Engineers to build robust data products & analysis that influences Flink’s business & product strategy.
- Ensure the team builds SQL models using dbt and BigQuery and BI assets using Looker that follows centrally defined standards.
- Work alongside our Data Platform team and with other Data Analytics leads to make complex data easily accessible for end users
- Think creatively to find optimal solutions to our complex, often unstructured problems.
Qualifications
- 2-3 years of experience managing mid-level & senior Data Analysts, preferably in a decentralized data environment.
- You have exceptional SQL skills (preferably on Google BigQuery or comparable) and experience in modeling tables with large and complex datasets using dbt or a similar tool;
- Very good communication skills in English and can drill down complex technical topic to business stakeholders;
- You are able to motivate and empower team members to lead and own complex projects with high impact on Flinks success
- You have experience in data visualization tools like (Looker, Tableau or comparable);
Additional Information
- A cool discount off your personal Flink orders, be the first to test out new products!
- A €1000 annual L&D budget, as well as career coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
- Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
- Attractive company pension options
- Online discounts with Corporate Benefits and Future Bens
- 26 days of vacation, +1 day every year up to a maximum of 30 days
- A unique opportunity to be an early bird and have an impact on our strategy & growth
- A steep learning curve, the possibility of working in an energised and dynamic team within a fast-paced environment
- For Berlin: A newly renovated and spacious, dog-friendly HQ in the heart of Mitte - lots of delicious lunch spots available within short walking distance
It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Data Analytics Data visualization dbt Engineering Finance Flink Looker SQL Tableau
Perks/benefits: Career development Startup environment Unlimited paid time off
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