Perform descriptive and inferential statistical analyses on the customer database;
Apply probability concepts and statistical modeling to support CRM strategies: purchase propensity, churn probability, next best action (NBA), and lifetime value (LTV);
Develop and maintain behavioral segmentation models (clustering, RFM, cut-off analysis);
Support measurement of campaign and customer-relationship program impact (A/B tests, control groups, lift analysis, statistical significance);
Apply survival analysis and recency modeling concepts to identify customers at risk of churn/inactivity;
Extract, clean, and manipulate data using SQL;
Translate analytical findings into clear, actionable recommendations for business teams;
Contribute to the development of the company’s data-driven culture.

Bachelor’s degree completed or in progress in Statistics, Mathematics, Engineering, Economics, Data Science, or related fields;
Strong knowledge of probability (distributions, Bayes’ theorem, stochastic processes) and applied statistics (hypothesis testing, regression, multivariate analysis);
Intermediate to advanced SQL skills for data extraction and manipulation;
Experience or familiarity with statistical tools (R, Python/pandas/scipy/scikit-learn or similar);
Ability to communicate technical results in an accessible way to non-technical audiences;
Familiarity with Bayesian inference applied to business problems.

Junior Analyst – Consumer Insights

Key skills