Logistics Data Analyst (m/f/d)

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 3,000 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 90 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.

Job Description

• You will conceptualize and coordinate the implementation of a variety of initiatives aimed at improving operational efficiency through product and process improvements
• You will translate deep operational understanding into actionable avenues for improvements by our data and data science teams
• You will oversee the testing and optimization of our logistics tech stack to drive operational impacts
• You will empower senior company decision makers with reports, dashboards and ad-hoc analysis
• You will model and analyze past and future business outcomes and develop projections for long-term business planning
• You will collaborate closely with our HQ product, engineering, data and business teams as well as local teams
  
  

Qualifications

• Bachelor or Masters degree in Mathematics, Statistics, IT, Finance or similar area
• You have at least 2 years of work experience in a quantitative field - e.g. consulting, operations (experience in an instant-delivery environment is a plus)
• Solid knowledge of statistical testing methodologies
• Very good working knowledge of SQL
• Previous experience working with R, or Python and common data libraries
• Experience with Python for unstructured data, machine learning techniques are advantageous
• Good knowledge of MS Office, specially Excel (familiarity of their Google Workspace equivalents is a plus)
  
  

Additional Information

• A €1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
• 26 days of vacation, +1 day every year up to a maximum of 30 days
• A mobility budget of 35 EUR per month for Deutschland Ticket subsidy
• A cool discount on your Urban Sports Club membership
• Attractive company pension options
• Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
• Online discounts with Corporate Benefits and Future Bens
• A cool discount off your personal Flink orders; be the first to test out new products!
• A modern and dog-friendly office in the heart of Berlin - 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.