Head of Business Intelligence & Analytics


- Stockholm - Full time

This position is not active anymore. We want to tell you first when new similar positions are available.

  • Team work
  • Central office
  • Flextime
  • Social responsibility
  • Career opportunities
Ride with VOI to the Future!

We offer you a career where your work and talents directly impact the lives of your community. We at VOI provide the most, sustainable, and fun way to travel via our e-scooter sharing network.

We need dedicated and talented people to ensure the continued success, maintenance, and thrill of this enterprise.

About VOI

VOI is a Scandinavian green mobility company offering electric kick scooter sharing in partnership with cities and local communities. We believe e-scooters can play a central role in changing how people move in our cities in the future.

About the job

Our growing scooter club is currently looking for a Head of BI / Analytics!  As part of the Engineering team you will play an important role in helping VOI achieve its potential through leveraging the power of Data. Since we are a startup we expect you to be able to tackle things hands on as well as leading your growing team, bridging into a managerial role.

You will from day one be managing a team of data scientists and will have large autonomy on how to continue building your team. The role is a key role in the engineering team since we believe in data driven decisions.

The ideal candidate has:

  • A degree in a quantitative field of studies (economics, mathematics, computer science, statistics, or similar)
  • Strong analytical and critical-thinking skills
  • Prior experience leading data analytics/science projects (2+ years), with best-practices on project structure and data management
  • Programming experience in Python, R, SQL (BigQuery and Postgres), and familiar with programming practices e.g. version control, CI/CD
  • Experience building models and extracting insights from large spatiotemporal datasets
  • Strong statistical skills, including machine-learning models (both supervised and unsupervised methods)
  • Experience with cloud-computing platforms (e.g. Google Cloud Platform)
  • Work in cross-functional teams
  • Ability to work with non-technical business executives to define core-business problems and deliver data-driven solution
  • Familiar with agile methodologies
  • Working experience with BI tools, including dashboarding

Other things that may be necessary in future:

  • Experience working with big-data frameworks (e.g. Hadoop, Spark etc.)
  • Knowledge of A/B testing
  • Architecturing data-pipelines, A/B testing system