Job Description

Join Mixx and grow with us as our MFS CVM Officer. This role requires 2 years of experience in Customer Value Management (CVM), marketing analytics, business intelligence, data analytics, or similar roles within the financial services, mobile technology, or telecommunications sectors. Candidates must hold a Bachelor’s degree in Information Technology, Computer Science, Economics, Statistics, Data Science, or a related field.

Core Responsibilities

• • Analyze mobile money user data to identify and maintain distinct customer segments based on behavior, demographics, and value.
  • Create detailed customer profiles to understand preferences, usage habits, and pain points.
  • Track key Customer Value Management (CVM) metrics such as ARPU, churn rate, retention, and transaction frequency.
  • Develop and implement CVM campaigns like upsell, cross-sell, win-back, and loyalty for mobile money services.
  • Work closely with Product, Marketing, and IT teams to align and integrate CVM efforts.
  • Craft tailored messages and offers for each customer segment using channels like SMS, USSD, and app notifications.
  • Monitor the effectiveness of CVM initiatives and report results against KPIs.
  • Use A/B testing and similar techniques to enhance campaign performance and engagement.
  • Provide actionable insights to refine CVM strategies and customer engagement approaches.
  • Identify early indicators of potential churn among users to trigger timely interventions.
  • Design and launch proactive campaigns to retain customers and reduce attrition.
  • Investigate causes of churn and recommend practical solutions to mitigate future losses.
  • Ensure data integrity, prepare performance reports, and collaborate with BI teams to improve data tools.

Core Competencies

• Proficiency in data science and scripting languages such as Python, R, or SQL for data manipulation, analysis, and reporting.
• Advanced proficiency in Microsoft Excel and other analytical tools.
• Expertise in report and dashboard design, ensuring visual clarity, user-friendliness, and business alignment.
• Knowledge of statistical analysis and predictive modeling techniques.
• Familiarity with data wrangling, feature engineering, and model deployment.
• Strong understanding of machine learning algorithms.
• Excellent written and verbal communication skills.
• Strong project management skills.
• In-depth knowledge of mobile financial services industry trends, consumer behavior, and regulatory environment.