Data Analyst

Festanstellung, Vollzeit · Berlin

5 Reasons to join LANCH

1. Huge growth & even bigger growth ahead

LANCH is the fastest growing consumer company in DACH ever and it’s still the very beginning. A journey like this brings massive career growth trajectory for you.

2. Work with experiences founders & C-Level

Serial founders who have exited companies to Netflix, DeliveryHero, Bird and experienced C-Level such as the former DACH CEO of Oatly.

3. Trusted by the best investors out there

Raised oversubscribed pre-seed to Series A rounds in less than a year in the toughest venture market. Backed by Europe’s best investors such as HV Capital, Felix Capital, founders of FlixBus, Flaschenpost, Foodora, Foodspring, Glovo, Wolt or superstars like Mario Götze, Knossi, Luciano, André Schürrle & more.

4. Early enough to have huge impact but late enough to know the business works & scales fast

Timing is everything: joining LANCH now is the perfect timing. We already know the business works and we are planning to make >€50m in this 2nd year. However, we are still small and you will have massive impact and career growth ahead.

5. Culture, fun, success - join a great team

We make value-centered decisions and invest a lot in building an amazing team. We go skiing, rent castles and do cool things together. All while building a massive company.
About the role
  • Perform strategic data analyses with direct impact to decision making of leadership team
  • Help building data pipelines and data models
  • Build and maintain automated dashboards and reports that are effective in helping stakeholders monitor key performance indicators and easily make decisions
  • Serve as a point of contact for ad-hoc data questions and requests
About you
Required
  • Background in a STEM degree, relevant technical field, or equivalent practical experience
  • Experience with one or more scripting languages, e.g. Python or JavaScript
  • Good knowledge of SQL and initial experience with visualization/BI tools (e.g. Tableau, Power BI, Metabase)
  • First experience in data analytics either through internships or a full-time position 
  • Excellent problem solving skills and always work in a solution-oriented and detailed manner
  • Curious and self-driven approach, as well as the ability to extract clear objectives and requirements from broad challenges or questions
  • Strong communication and interpersonal skills to effectively interact with stakeholders
  • Fluent in German
Nice to have / big plus
  • Data warehousing experience with dbt
  • Experience with cloud services, e.g. GCP (Google Cloud Platform)
  • Understanding of ETL (/ELT) processes
  • Experience working with ambiguity in a scale-up (or scale-up-like) environment
About us
At LANCH, we empower small gastronomy owners by giving them the tools needed to make food delivery fun again. We are building the world’s biggest virtual food court by creating high-quality delivery brands together with the megastars of our generation. LANCH is food delivery built for 2024. Backed by HV Capital, Felix Capital and a bunch of superstar angels such as the founders of FlixBus, Gorillas, Flaschenpost, Glovo, Foodspring, Foodora, Honest Food, Finleap and the most known YouTubers, rap stars and athletes of our time.

LIFE AT LANCH

  • A steep learning curve with a high career growth trajectory and massive ownership
  • Hybrid working and flexible working hours combined with a fair target salary
  • Offsite team events and regular get-togethers
  • Unique team spirit and flat hierarchies
  • Amazing 40 people team & highly experienced leadership team to learn from
  • Value-centered decision making: fast, transparent, creative and fun
  • Team offsites every 16 weeks to come together in-person & strengthen our relationships
  • Complete ownership on every level
Wir freuen uns auf dich!
Wir freuen uns über dein Interesse an LANCH! Bitte nimm dir Zeit und fülle kurz das folgende Formular aus. Solltest du Schwierigkeiten mit dem Upload deiner Daten haben, wende dich gerne per Email an hiring@lanch.com.
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