M-Pesa CVM Analyst at Vodacom Tanzania

The M-Pesa CVM Analyst will be responsible for driving customer value through data-driven insights, campaign performance analysis, and predictive modeling. This role supports the CVM team by ensuring visibility into key business trends, optimizing data processes, and enabling strategic decision-making through advanced analytics and reporting.

Key Responsibilities

Data Extraction & Reporting

• Run and optimize SQL scripts to extract data from various sources
• Build and maintain reports, cubes, and dashboards to support CVM operations
• Ensure visibility of key CVM metrics such as Gross Additions, Churn, Base Retention, and Product Performance

Performance Monitoring & Insights

• Monitor customer base trends and provide actionable insights
• Analyze product performance and recommend strategic actions
• Create and share reports on campaign performance with clear recommendations for improvement

Advanced Analytics & Modeling

• Support the development and deployment of machine learning models (e.g., churn prediction, usage behavior models)
• Use predictive analytics to identify upselling and cross-selling opportunities
• Collaborate with commercial teams to translate model outputs into business actions

Business Support & Decision Enablement

• Provide complex data analysis to support day-to-day business decisions
• Work closely with cross-functional teams to ensure data-driven decision-making
• Offer commercial insights and recommendations based on data trends

Project Management

• Lead and manage CVM-related projects from planning to execution
• Coordinate with stakeholders to ensure timely delivery and alignment with business goals
• Track project progress and report on outcomes and impact

Collaboration & Ad Hoc Tasks

• Support the CVM team with any other data-related tasks as assigned
• Ensure continuous improvement of data processes and tools

Qualifications & Experience

• Bachelor’s degree in Statistics, Computer Science, Data Science, Economics, or a related field
• 2+ years of experience in data analytics, preferably in telecom or fintech
• Strong SQL skills with experience in optimizing queries for performance and storage
• Experience with BI tools (e.g., Power BI, Tableau, Looker)
• Familiarity with machine learning concepts and tools (e.g., Python, R, or similar)
• Commercial acumen and ability to translate data into business value

Key Competencies

• Analytical thinking and problem-solving
• Strong communication and presentation skills
• Attention to detail and data accuracy
• Ability to work independently and collaboratively
• Business-oriented mindset with a focus on customer value

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

Who We Are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.