Data & AI Associate – Advanced Analytics & Machine Learning

EDITX BV· Arr. de Bruxelles-Capitale/Arr. Brussel-Hoofdstad· EURES· paskelbta 2026-07-16
Privaloma:PythonAzureDataAISecurityLead

Responsibilities

  • Own and manage the evolution of the commercial data warehouse and analytics ecosystem.
  • Lead the development of advanced dashboards and decision-support tools using Power BI and Azure technologies.
  • Translate complex business challenges into scalable data solutions that deliver measurable commercial value.
  • Act as the Product Owner for the internal business analytics and AI platform, defining the roadmap for new capabilities.
  • Develop and optimize Machine Learning auction prediction models to improve forecasting accuracy and commercial decision-making.
  • Shape the long-term data strategy and operating plan while establishing clear governance and documentation standards.
  • Collaborate with internal stakeholders and external technology partners to bring cutting-edge AI use cases into production.

Requirements

  • You possess a Master’s degree or MBA in Data Science, Business Analytics, Artificial Intelligence, Engineering, or a related quantitative field.
  • You have 1 to 3 years proven experience in data analytics, business intelligence, or machine learning, preferably within a data-intensive industry.
  • You bring practical experience using Python and SQL for developing predictive models and advanced analytics solutions.
  • You have a strong understanding of Machine Learning frameworks and data analysis techniques.
  • You possess advanced proficiency in Microsoft Excel and reporting tools such as Power BI.
  • You have a solid understanding of data governance, security, and quality management principles.
  • You're able to bridge the gap between business strategy and technical implementation to maximize value from data.
  • You are proactive and solution-oriented with excellent communication and presentation skills.
  • You are fluent in English

Nice to Haves

  • Experience within energy markets, utilities, or financial services.
  • Knowledge of Azure data platform architecture, including security and integration.
  • Knowledge of other languages likeDutch or Frenchwould be nice to have
  • Willingness to travel occasionally between international office locations, mainly UK and Germany.