Data Analyst
Istorm
Antwerpen
il y a 3j

Functieomschrijving

  • The data analysts of each department are close to the daily need for data analysis and solutions.
  • They rely however on you as data scientist for the larger projects which require a statistical and / or data modelling approach.
  • Once the algorithms are developed and deployed, the data analysts act as single point of contact and take over operational responsibility, while you remain owner of the algorithm design.
  • Thanks to the collaboration with universities, you will ensure that the algorithms developed in a PhD are useful and can be further developed in the team to be eventually deployed.

  • You will take a leading role in increasing the competence and capability of our cutomer his group of data analysts and data scientists to successfully deliver data driven insights and models.
  • You will organize trainings, host community best practice sessions, hangouts to learn the broader business context, workshops to conclude on standards and best practices, etc.
  • You will mentor junior data analysts and data scientists setting their first steps on the analytical ladder.
  • Some basic understanding of project management will also help to manage your research projects well. The team is currently using a combination of SAS and R / Python flows in databricks.
  • Profiel

    To accomplish this role, a master’s degree in Engineering (Computer science, Big Data Analytics, Artificial Intelligence) or in Statistics, problem solving skills, professional experience in data analytics and an affinity to an industrial B2B market will help you.

    High self-motivation, an innovative mindset and accountability are key for success.

    Organisatie- en afdelingomschrijving

    Our client, located in Antwerp, is a global and diverse Group of many strong brands and counts around 34 000 employees representing different cultures in more than 180 countries.

    Aanbod

  • A competitive salary
  • The opportunity to grow and learn
  • Flexibility to find an optimal work life balance
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