Senior Analytics Engineer (m/f/d)

Posted 12 Days Ago
Be an Early Applicant
Berlin
Mid level
eCommerce • Information Technology
The Role
As a Senior Analytics Engineer, you will collaborate with business users, product managers, and engineers to define metrics, build SQL models with dbt and BigQuery, and enhance the data warehouse infrastructure. Your role focuses on automating reporting for operational performance and finding creative solutions to complex challenges.
Summary Generated by Built In

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 500m in revenues in 2023 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 Senior Analytics Engineer  (m/f/d), you will be part of a team of embedded Data Analysts within the Operations department, collaborating closely with business stakeholders as well as product & engineering in order to automate reporting on core aspects of the operations.

Job Description

  • Collaborate closely with Business Stakeholders, Product Managers and Engineers and help them define requirements and logic for metrics to measure the performance of complex operations and events;
  • Build SQL models using dbt and BigQuery to make data accessible to our stakeholders;
  • Work alongside our Data Platform team, our Data Science team and with other Analytics members to develop our data warehouse infrastructure;
  • Think creatively to find optimal solutions to our complex, often unstructured problems.

Qualifications

  • You have exceptional SQL skills (preferably on Google BigQuery or comparable) and experience in modeling tables with large and complex datasets;
  • You have 4+ years of experience in an analytical role;
  • Ideally 2-3+ years of experience using dbt to build SQL models;
  • You have experience with Looker, and are comfortable writing LookML code;
  • Very good communication skills in English and can drill down complex technical topic to business stakeholders;
  • You are self-motivated and driven to lead and own complex projects with high impact on Flink's success. 

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.

Top Skills

SQL
The Company
Berlin
2,451 Employees
On-site Workplace
Year Founded: 2020

What We Do

High-quality and fresh groceries delivered to your door in minutes.

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