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.
In your role as a Product Analyst (m/f/d), you will work closely with cross-functional Product teams and drive their decision-making and product development with your analytical work.
Collaborate with stakeholders and translate their business needs into data requirements behind dashboards, deep-dive analyses & experiment set-ups;
Develop and evolve tracking concepts to ensure we collect accurate and reliable data;
Build and transform raw event stream data from various sources into our data warehouse, and therefore enable driving actionable insights & enriching user profiles;
Analyze post-order user journeys in close collaboration with Operations to optimize delivery experience touchpoints as well as improve satisfaction and retention;
Design, conduct and evaluate A/B tests and drive experimentation-led Product development;
Communicate findings clearly through impactful visualizations and concise storytelling tailored to stakeholders;
Adopt a product-centric approach—prioritizing measurable business impact and informed decision-making over simply completing tasks or producing reports.
Good to have:
Understanding of product life cycle and how it translates into end-to-end pipelines for Analytics:
familiarity with product tracking, facilitated by the usage of tools similar but not limited to Avo/Segment/Google Analytics/Adjust/AppsFlyer etc;
knowledge of analytics engineering principles for efficient, economical & scalable data modelling (BigQuery/Redshift/Databricks/Snowflake + dbt);
experience with visualisations in Tableau/PowerBI/Mixpanel/Looker.
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.
