Recipient: Aleksandra Jarocka

Issue date: 15.05.2026

Description: The task involved preparing a comprehensive data analysis using tools such as Excel, Tableau, Power BI, or Python, based on real business data from KajoData related to transactions within KajoDataSpace. Participants worked with a complete 28-month sales history, including pricing changes, customer retention, promotional campaigns, and subscription price increases. The project required strong analytical skills, including advanced data segmentation, churn analysis, and the ability to derive non-obvious business insights. Importantly, the entire analysis was conducted using fully real-world data, reflecting the genuine complexity of analytical work in the fast-changing e-commerce environment.