Data Analyst (m/f/d)

at  Flink

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 Data Analyst (m/f/d) in our Central Analytics team, you will work closely with our Commercial, Marketing, Finance & Supply Chain teams to understand their business needs and help them leverage data for decision-making. You will also work alongside our Product & Engineering teams to ensure we capture & collect the right data, and be involved in the end-to-end data lifecycle.

Job Description

• Define tracking schemas, data contracts and ingest raw data in partnership with our Product & Engineering and Data Platform teams;
• Conduct exploratory analysis to identify areas for optimization in the business;
• Build scalable end-to-end data pipelines, transforming raw event & transactional level data to curated datasets and build data products in Looker to enable self-service analysis;
• Work alongside our Commercial, Marketing, Finance & Supply Chain teams to define business KPIs, and prioritize initiatives.

QUALIFICATIONS

• Strong foundations in SQL (preferably BigQuery, or something similar) and experience deploying data models into production (we use dbt) with git-based version control. Bonus points for experience with Python or R;
• Experience analyzing and visualizing data, building data assets that stakeholders enjoy using, and can use to generate their own insights;
• A strong record of driving business impact from data analysis - tell us about a time your analysis has changed your product or business trajectory!
• An ability to understand the drivers of business performance - what metrics matter and why?

Please refer the Job description for details