Data Analyst (m/f/d)

Berlin, Germany

Flink

Fresh groceries delivered at supermarket prices.

View company page

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 utilising recyclable packaging. 

Flink launched in February 2021 and already operates in more than 80 cities in Germany, the Netherlands, and France. 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 Junior Data Analyst (m/f/d) you will engage with various teams to understand their business needs and help them leverage data for decision-making. You will also act as an Analytics Engineer and will be heavily involved in handling all stages of a data pipeline. You will work as part of the Data Team to build best-in-class analytics.

Job Description

  • Work closely with the stakeholders, and help them define requirements and logic for metrics to measure the performance of complex operations and events;
  • Develop and build on your existing knowledge, driving projects from start to end with full ownership - always looking for new opportunities to innovate;
  • Develop and maintain data pipelines;
  • Collaborate with the Data Science team on and support our Data Engineers in developing our data warehouse infrastructure.

Qualifications

  • 1+ years of experience working in an analytical role;
  • Good SQL skills;
  • Hands-on experience with data visualisation tools;
  • Analytical mindset with the ability to interpret and translate data into actionable insights;
  • You are a problem solver who can take ownership, think independently, exceed requirements, and suggest new developments; 
  • Nice to have: basic knowledge of Python;
  • Very good communication skills in English (spoken & written).

Additional Information

  • 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.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data pipelines Data warehouse Flink Pipelines Python SQL

Perks/benefits: Career development Startup environment Team events Unlimited paid time off

Region: Europe
Country: Germany
Job stats:  46  24  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.