Nafasi ya kazi :- MFS CVM Officer at Mixx by Yas July 2025

Job Opportunity: MFS CVM Officer at Mixx

Job Description

Featured job openings

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.