Hands-on coding experience with SQL and Python (experience with PySpark is a plus).
Proficient in creating in Power BI visualizations (knowledge of DAX is a plus).
Experienced with traditional relational databases on-premises, as well as with big-data environments and cloud technologies such as Azure, Cloudera, Hadoop, and Teradata.
Skilled in statistical analysis techniques (e.g., multinomial confidence intervals, correlations, data reduction, clustering, segmentation, Bayesian algorithms, hierarchical regressions, machine learning).
Capable of translating business needs into analytical requests and effectively communicating technical results to non-technical stakeholders through clear and appropriate visualizations.
Result-oriented, with a proven ability to transform data into actionable insights that create business value.
Responsible, result-driven, and passionate about data; a team player who continuously seeks creative solutions and who can also work independently towards high-quality results.
Minimum of 2 years of relevant work experience.
Fluent in Dutch and/or French (mandatory) and English.
Knowledge of telecommunications and experience with data pipelines creation/maintenance is a plus.