Ready to join the team?

Below you can find out more about our vacancies. To apply, please send us your CV, and a Cover Letter on why you want to work with us at: .

Data Analyst

We are looking to hire a highly motivated and professional Data Analyst, to join the dedicated team of and be part of the upcoming global solution to improving wellbeing at work!



  • Organise, sort, manipulate large databases.
  • Run statistical models and develop predictive models using statistical techniques such as structural equation modelling (SEM), Multivariate statistics, and mixed models.
  • Work in collaboration with business partners, such as the Head of Emotions Research, Project Managers and Business Experts, for the better flow of information in a dynamic environment.
  • Use programming languages such as R and Python to analyse the data and contribute to the development of the platform of 
  • Create and present elaborate reports to Business partners for the timely monitoring of the project’s progression.


  • Multivariate statistics.
  • Bayesian modelling.
  • Structural equation modelling (SEM).
  • Ability to monitor and adjust data quality.
  • Competence with R and Python, proficiency in other programming languages is a plus.
  • Experience with aptitude, competence, and personality psychometrics and test validation is a plus.


  • University degree with a strong quantitative orientation.
  • No minimum experience required.


  • Passionate and commited to the project.
  • Strong attention to detail.
  • A team player.
  • Good communication and presentation skills.
  • Excited to contribute to our startup’s vision in revolutionizing wellbeing and emotional agility in the workplace.
  • Good sense of humor will be appreciated!


  • Fluent in English.
  • Fluency in Dutch is an advantage.


  • Eligibility to work and reside in Belgium.


  • A full-time contract.
  • Competitive salary.
  • Work in a vibrant, creative and happy environment.
  • Meet and collaborate with a highly specialised team with diverse backgrounds.
  • Career evolution.