Product Analyst (m/f/d) at Flink

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Data Aggregations, Data Visualizations, User Behavior Analysis, A/B Testing, Experimentation, Data Modeling, Tracking Concepts, Storytelling, Product Development, Stakeholder Management, Data Warehousing, Event Stream Data

Industry

Software Development

Description

Company Description Launched in 2021 with a simple yet bold mission, Flink set out to give people back their most valuable resource: time. We didn't just join the quick commerce race, we defined its potential. By enabling customers to order from a curated selection of over 3,000 groceries and household essentials through our user-centric app, we deliver what people need in minutes. We have fundamentally shifted the retail landscape across Germany and the Netherlands, while embedding sustainability into our core through an all-electric delivery fleet, recyclable packaging, and a focus on reducing food waste. Today, Flink has evolved from a disruptive startup into a resilient and sustainable powerhouse. In an industry defined by rapid change, we’ve mastered the balance of hyper-efficiency and massive scale. With a network of around 160 hubs, we now bring the Flink experience to more than 22 million people, making us an integral part of the urban infrastructure. This impact is driven by a dedicated team of more than 10,000 colleagues, including a fully employed rider fleet that serves as the backbone of our operations. By generating over €550m in revenue in 2025, we have proven that our model is not only desirable but financially formidable. Having built a proven foundation, we are now shifting from establishing our presence to accelerating our impact. Backed by prestigious partners like Prosus, Mubadala, Bond, DoorDash, Btomorrow Ventures and REWE, and fueled by fresh investment, we are entering our next major growth phase. We are thinking bigger, expanding our footprint, and refining every link in our value chain. Our culture is defined by a shared bias for action and the commitment to being 1% better every day. We take ownership, stay close to the frontline, and support one another to ensure we never let another Flinker fail. We celebrate diversity and believe that our multicultural team is our greatest competitive advantage. Are you ready to shape the future of quick commerce with us? 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. Job Description Develop a deep understanding of user behavior in the exciting field of fast grocery delivery and influence our Product roadmap to continually improve our user experience; Own end-to-end analytics cycle: 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. Qualifications University degree in the quantitative field (STEM, Economics, Analytics, Data Science) or comparable qualification with strong statistics background; 2+ years of experience in an analytical role (e.g. Product Analyst / Data Analyst); Advanced knowledge of SQL, programming experience in Python/R for data aggregations & visualizations, data analysis' Enthusiastic about understanding user behaviour and how to build great digital (customer-centric) products; Very good communication skills in English (spoken & written); German is a plus; 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. 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 off your personal Flink orders; be the first to test out new products! A 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 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.

Responsibilities

The Product Analyst will collaborate with cross-functional Product teams to drive decision-making and product development through analytical work, focusing on understanding user behavior in fast grocery delivery to improve the user experience. Key duties include owning the end-to-end analytics cycle, developing tracking concepts, building data pipelines, analyzing post-order journeys, and designing/evaluating A/B tests.