Background

Telekom Networks Malawi Plc (TNM Plc) is leading Malawi’s digital transformation, delivering next generation connectivity, mobile financial services, and enterprise solutions that are redefining how businesses connect, operate, and grow. As a fast evolving, innovation driven telecommunications and digital services provider, TNM is shaping the future of connectivity in Malawi. To support this vision, we are seeking to attract high calibre, commercially astute, and relationship driven professionals to join the Company in the positions below. This is a high impact opportunity for individuals who thrive in dynamic, performance-oriented environments and are motivated by results. At TNM, you will join a team that goes beyond to empower businesses, drive digital transformation, and unlock sustainable growth in an increasingly connected economy.

Role Context

Reporting to the Marketing Director the Business Intelligence Manager is responsible for leading the Commercial Business Intelligence function by transforming data into actionable insights that drive growth, customer acquisition, retention, revenue optimization, and operational efficiency.

Responsibilities

• Lead the Commercial Business Intelligence function and serve as the primary source of business insights and analytical support for all commercial departments.
• Develop and execute targeted customer campaigns to drive acquisition, retention, upselling, cross-selling, and revenue growth.
• Design, develop, and maintain dashboards, reports, and KPIs that support strategic and operational decision-making.
• Conduct advanced analysis of customer behavior, product performance, revenue trends, and market opportunities, and provide actionable recommendations.
• Manage and prioritize all business intelligence requests, ensuring timely delivery of accurate insights and reporting.
• Develop predictive models and customer segmentation frameworks to improve campaign effectiveness and business performance.
• Drive data mining, automation, and self-service analytics initiatives to improve business agility and efficiency.
• Collaborate with Marketing, Sales, Enterprise, Mpamba, Technology, and Finance teams to identify opportunities and solve business challenges through analytics.
• Monitor campaign performance and optimize customer targeting, offer effectiveness, and return on investment.
• Lead innovation in analytics, artificial intelligence, machine learning, and data visualization to create competitive advantage and accelerate business growth.

Qualifications and Experience

• Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, Economics, Mathematics, Information Systems, Engineering, or a related field.
• Master's Degree in Data Science, Business Analytics, Statistics, MBA, Economics, or related discipline will be an added advantage.
• Minimum 5 years' experience in Business Intelligence, Data Analytics, Commercial Analytics, Customer Value Management, Marketing Analytics, or a related field.
• Strong experience in customer analytics, campaign management, reporting, forecasting, and business performance analysis.
• Advanced proficiency in SQL, Python, R, Power BI, Tableau, SAS, or similar analytics tools.
• Experience designing and managing customer acquisition, retention, and revenue growth campaigns.
• Experience with data warehousing, ETL processes, data visualization, and big data environments.
• Demonstrated ability to translate complex data into actionable business recommendations.
• Experience in predictive analytics, customer segmentation, propensity modelling, and machine learning.
• Professional certifications in Data Analytics, Business Intelligence, Artificial Intelligence, Cloud Analytics, or Project Management will be an added advantage.
• Customer retention, loyalty management, customer value management knowledge. Customer analytics and insights, churn management, campaign management and customer segmentation ability.

• Lead the Commercial Business Intelligence function and serve as the primary source of business insights and analytical support for all commercial departments.
• Develop and execute targeted customer campaigns to drive acquisition, retention, upselling, cross-selling, and revenue growth.
• Design, develop, and maintain dashboards, reports, and KPIs that support strategic and operational decision-making.
• Conduct advanced analysis of customer behavior, product performance, revenue trends, and market opportunities, and provide actionable recommendations.
• Manage and prioritize all business intelligence requests, ensuring timely delivery of accurate insights and reporting.
• Develop predictive models and customer segmentation frameworks to improve campaign effectiveness and business performance.
• Drive data mining, automation, and self-service analytics initiatives to improve business agility and efficiency.
• Collaborate with Marketing, Sales, Enterprise, Mpamba, Technology, and Finance teams to identify opportunities and solve business challenges through analytics.
• Monitor campaign performance and optimize customer targeting, offer effectiveness, and return on investment.
• Lead innovation in analytics, artificial intelligence, machine learning, and data visualization to create competitive advantage and accelerate business growth.

• SQL
• Python
• R
• Power BI
• Tableau
• SAS
• Data Warehousing
• ETL Processes
• Data Visualization
• Big Data Environments
• Predictive Analytics
• Customer Segmentation
• Propensity Modelling
• Machine Learning
• Customer Retention
• Loyalty Management
• Customer Value Management
• Customer Analytics
• Churn Management
• Campaign Management

• Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, Economics, Mathematics, Information Systems, Engineering, or a related field.
• Master's Degree in Data Science, Business Analytics, Statistics, MBA, Economics, or related discipline will be an added advantage.
• Minimum 5 years' experience in Business Intelligence, Data Analytics, Commercial Analytics, Customer Value Management, Marketing Analytics, or a related field.
• Strong experience in customer analytics, campaign management, reporting, forecasting, and business performance analysis.
• Advanced proficiency in SQL, Python, R, Power BI, Tableau, SAS, or similar analytics tools.
• Experience designing and managing customer acquisition, retention, and revenue growth campaigns.
• Experience with data warehousing, ETL processes, data visualization, and big data environments.
• Demonstrated ability to translate complex data into actionable business recommendations.
• Experience in predictive analytics, customer segmentation, propensity modelling, and machine learning.
• Professional certifications in Data Analytics, Business Intelligence, Artificial Intelligence, Cloud Analytics, or Project Management will be an added advantage.
• Customer retention, loyalty management, customer value management knowledge. Customer analytics and insights, churn management, campaign management and customer segmentation ability.