Data Analyst - Marketing (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

As a Data Analyst  (m/f/d) in our Customer Insights team, you will play a key role in driving data-driven decisions across our marketing organization, working closely with teams such as User Growth, Acquisition, and CRM. In this role, you will use a dataset of millions of customers to unlock powerful insights and build a deep understanding about our customer behavior, which is directly translated to impactful marketing strategies.

From building segmentations and developing customer-level prediction models (like churn probability and customer lifetime value) to generating insights and creating scalable business reports, you'll have the opportunity to work on a wide variety of projects. With endless possibilities to explore customer journeys and turn analysis into action, this role offers both strategic influence and hands-on analytical work in a fast-paced, data-rich environment.

Your key responsibilities will include:

• Conduct deep-dive analyses and insights on customer behavior to identify opportunities and recommend actions.
• Build and improve customer segmentations to enable targeted marketing strategies.
• Build reporting models using dbt and Looker dashboards to monitor business performance and support the teams on their day-to-day operations as well as the management on high-level business planning.
• Translate complex analytical findings into clear, actionable recommendations for business stakeholders.
• Collaborate closely with marketing, data engineering, and product teams to ensure data quality and accessibility.

Qualifications

• You have a Bachelor’s degree or higher in Data Science, Business Analytics, Computer Science, or a related field. 
• You have gained professional experience in a high-paced environment (early-stage startup is a plus) and consistently delivered high-quality results, taking ownership of tasks and driving them to completion.
• You have strong foundations in SQL and you are comfortable using git and python.
• You have strong analytical and problem-solving skills with the ability to interpret complex data sets and generate insightful visualizations.
• You have excellent communication and presentation skills.

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 30 EUR per month with NAVIT, which you can use individually for Uber, BVG and many other providers 
• 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.