Merchant CVM Analyst

Job Vacancy at Vodacom Tanzania: Merchant CVM Analyst – October 2026 1. Job Overview Company:Vodacom TanzaniaTitle:Merchant CVM AnalystJob Category:Data, Analytics, and Customer Value ManagementJob Type:Full-TimeJob Posting Date:October 9, 2026Duty Station:Not specified in the provided announcementApplication Deadline:Not specified in the provided announcementApplication Mode:Online Application 2. About Vodacom Tanzania Vodacom is a leading international telecommunications company serving millions of customers through connectivity and digital services. The company uses technology to connect people, support businesses, and create a more inclusive and sustainable world. Vodacom promotes innovation, collaboration, diversity, and inclusion while providing opportunities for employees to develop their careers and contribute to business growth. 3. Role Purpose The Merchant CVM Analyst will deliver performance insights from merchant and channel data to support business growth and decision-making. The successful candidate will collaborate with relevant teams to develop advanced machine learning solutions that increase revenue, reduce costs, and improve customer experience. The role will also contribute to strengthening machine learning capabilities across M-Pesa and Vodafone globally. 4. Key Responsibilities Develop data solutions using SQL, Extract, Transform, Load (ETL) processes, dashboards, and reporting tools. Monitor business performance through Key Performance Indicator (KPI) tracking and channel analytics. Generate actionable insights to support business growth and informed decision-making. Lead campaign and commercial analytics, including rewards, payouts, and performance reviews. Build and deploy machine learning solutions to improve revenue, operational efficiency, and customer experience. Analyze merchant and channel data to identify trends, performance gaps, and business opportunities. Support data-driven commercial strategies and customer value management initiatives. Develop and maintain analytical dashboards and reports for business stakeholders. Contribute to the design and evaluation of experiments used to measure the effectiveness of business initiatives. 5. Required Knowledge, Skills, and Competencies A. Data Analytics and SQL Advanced SQL expertise for query optimization and data extraction from multiple sources. Strong analytical, logical, and causal reasoning skills. Ability to process and interpret large datasets to generate meaningful business insights. Experience developing data solutions using ETL processes. B. Business Intelligence and Reporting Proven ability to design, build, and maintain business intelligence dashboards and reports. Experience using tools such as Power BI, Tableau, or Looker. Ability to monitor business KPIs and communicate performance trends. Strong reporting and data visualization skills. C. Commercial and Business Acumen Commercial awareness and a business-oriented mindset. Ability to identify business opportunities, performance gaps, and customer value drivers. Understanding of customer-driven marketing techniques and processes. Ability to anticipate customer needs, competitor activities, and market dynamics. D. Machine Learning and Data Science Proficiency in Python and the associated data science ecosystem. Knowledge of machine learning methods and applications. Experience with experimental design and evaluating analytical solutions. Ability to develop and deploy data science solutions that improve revenue, efficiency, and customer experience. E. Communication Effective communication skills. Ability to present analytical findings and recommendations to business stakeholders. Capacity to translate complex data insights into practical business actions. 6. Required Qualifications and Experience Education Applicants must possess aBachelor’s or Master’s degreein a quantitative or related field, such as: Mathematics Statistics Economics Computer Science Engineering Artificial Intelligence Data Journalism A related field Professional Experience At least4 years of experience in a similar big data or data science role. Significant knowledge of customer-driven marketing techniques and processes. Experience working with large datasets, data analytics, and business intelligence solutions. Practical proficiency in Python, machine learning, and experimental design. Experience using SQL and analytical tools to generate business insights. 7. Diversity and Inclusion Vodacom is committed to creating an inclusive workplace that values people from diverse backgrounds, abilities, and cultures. Applicants who require reasonable adjustments or accessibility support during the recruitment process, including additional time or breaks during online assessments, can find guidance through the following link: Application Adjustments:https://careers.vodafone.com/application-adjustments/ 8. How to Apply Interested and qualified candidates should submit their applications through the official Vodafone careers portal. CLICK HERE TO APPLY Applicants should review the official vacancy details and ensure their applications demonstrate relevant experience in data science, SQL, Python, machine learning, business intelligence, and customer value management. Application Deadline:Not stated in the supplied announcement. Check the official careers portal for the current closing date before applying.