A Great Opportunity for ...
1.Analyze customer data (usage patterns, demographics, billing history) to identify trends, segments, and opportunities for value creation.
2.Utilize data analysis tools (e.g., Excel, SQL) to uncover customer behavior patterns, churn risks, and potential upsell/cross-sell opportunities.
3.Develop and maintain reports and dashboards to track key performance indicators (KPIs) related to customer value management, such as customer acquisition cost (CAC), CLTV, churn rate, and Net Promoter Score (NPS).
4.Support the CVM team in developing and evaluating targeted customer programs and initiatives by providing data-driven insights and recommendations.
5.Conduct market research to identify customer trends and competitor offerings that may impact customer value.
6.Recommend data-driven improvements to customer service processes, product offerings, and loyalty programs to enhance customer satisfaction and loyalty.
7.Collaborate with other departments (Marketing, Sales, Product Development) to translate data insights into actionable recommendations for improving the customer experience.
8.Stay informed about industry trends and best practices in customer analytics and customer value management.