Customer Data Analysis

Job Description Conduct in-depth customer data analysis to identify upselling and cancellation patterns , as well as customer usage behaviors based on segments. Identify customer segments with high potential for upselling and cancellation to support targeted marketing campaigns. Develop and present intuitive data visualizations to communicate insights effectively to teams. Build and maintain dashboards to monitor KPIs related to customer lifecycle and campaign performance . Collaborate with Business and Data Teams (DA, DS, DE) to enhance data infrastructure for advanced analytics. Provide strategic recommendations based on data-driven insights to support business decision-making. Qualifications Bachelor’s degree in Statistics, Data Analytics, Data Science, Business Analytics, Marketing, Economics, or related fields. 2-3 years of experience in Data Analytics, Business Analytics, CRM Analytics, or Marketing Analytics. Strong analytical skills in customer segmentation, churn analysis, and upselling opportunities. Proficient in SQL and data visualization tools (Power BI, Tableau, Looker Studio, etc.). Experience in dashboard development, KPI tracking, and performance reporting. Good communication and presentation skills with the ability to translate data into business insights. Proficient in Microsoft Excel and PowerPoint. Preferred: Experience in Telecommunications, E-commerce, or Digital Business environments. Knowledge of Python, R, or predictive analytics is a plus.