· Analyze customer behaviour and transactional data to detect patterns, trends and performance drivers;

· Conduct segmentation studies, loyalty program performance reviews, promotional uplift analysis and customer lifecycle insights;

· Support A/B testing, pricing experiments, and elasticity modelling with data-driven recommendations;

· Develop strategic recommendations for pricing, loyalty mechanics, promotions and network using evidence-based modelling;

· Build and maintain analytical datasets, dashboards, KPIs and reporting frameworks for commercial and retail teams;

· Automate repetitive analyses and democratize insights through scalable reporting (Power BI, Tableau);

· Partner with marketing, retail operations, CRM, pricing, network teams to embed insights into strategic and operational decisions;

· Serve as the customer analytics focal point supporting priority commercial initiatives;

· Stay informed about emerging custom...