Data Analyst – Customer
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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.
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