Data Analyst – Customer & Usage Experience

Role and Responsibilities

Within the Customer & Usage Experience squad, we are committed to enhancing the experience of customers by leveraging big data using cutting-edge tools and technologies. As a data analyst, you will play a key role in identifying new customer & usage experience insights through innovative methods, models, and impactful visualizations, with the objective of driving meaningful improvement initiatives. You will collaborate closely with BI specialists, data scientists, and big data experts to tackle challenges and achieve measurable results.

Your Profile

• Hands-on coding experience with SQL and Python (experience with PySpark is a plus).
• Proficient in creating 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.
• Master’s degree in computer science, applied mathematics, or statistics, with programming experience.
• Minimum of 2 years of relevant work experience.
• Languages: NL/EN or FR/EN.
• Knowledge of telecommunications and experience with data pipelines creation/maintenance is a plus.