BI Analyst


What do we offer

  • Salary range of €40K-60K

  • Virtual Stock Option Plan

  • Relocation assistance to Berlin, or work remote from anywhere on planet Earth

  • Growth within a rapidly expanding global company

  • A true culture of meritocracy

What are we looking for:

  • Full lifecycle of our dashboards: from requirements collection and implementation to maintenance and optimisation [approx. 50% of your time]

  • Statistical data analysis and investigation: identifying patterns and trends, ad-hoc insights analysis, experimentation and optimisation, providing data for mission-critical operations and strategic decisions [approx. 30% of your time]

  • Bringing operational and cross-functional teams towards data-driven paradigm via automation, data based decision making, hypothesis testing, transparent and accessible data [approx. 20% of your time]

Minimum qualifications:

  • Major in Computer Science or related field

  • 1+ years of Data Visualisation experience

  • Proficiency in Python and SQL

  • Ability to break down complex problems and projects into manageable goals

  • Ability to translate business objectives into actionable analysis

  • Excellent problem-solving, process improvement, and analytical skills

Preferred qualifications:

  • Experience with Google Data Studio, AirFlow, Kafka, GitLab

  • Experience in A/B testing

Who we are

We are a technology platform that provides access to ground transportation worldwide, enabling a better travel experience from search to settlement. We work with major partners such as Google, Flixbus, Kiwi, Deutsche Bahn, and many more.

We recently raised €30M Series B, and we are excited to scale our team!

You’ll be part of Data team, working on challenging and interesting problems on a daily basis – we collect hundreds of millions events every day and our goal is to make sure that this data brings maximum impact to the organisation, our partners and our users. You’ll be supported by an experienced leadership team and work together on exciting projects.


We have a team of strong business and tech-oriented people with 10+ years of experience in ML and Software Engineering.

Tech stack

BigData: DataLake based on GCP (BigQuery/CloudStorage + Airflow for batch data processing, Kafka for data streaming + GDS for visualisation)

WebServices: FastAPI for Backend and Vue.js for frontend

Machine Learning: plain old Statistical, Black-box models, Pyro, Pytorch