Role Purpose

Responsible for enhancing data collection procedures, utilizing machine learning tools for feature selection, classifier creation, and data pre-processing, incorporating innovative technology for automated report generation, and fostering continuous improvement to enhance service delivery efficiencies

Key Accountabilities & Decision Ownership

•Perform Month end Revenue & Reloads (Prepaid, Post-paid & Hybrid MRCs, ADSL, Interconnect, Vodafone Cash) and Direct cost (Interconnect Local and International) validation through comparison with Revenue Assurance and flag discrepancies exceeding defined thresholds for investigation and resolution to enhance financial reporting accuracy.
•Deliver and maintain a Prepaid and Hybrid Upsell Model using machine learning model to identify and capitalize on opportunities to promote and sell prepaid and hybrid products to existing clients, resulting in increased revenue, and strengthened customer relationships.
•Participate in advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
•Deliver reports and insights that analyse business functions and key operations and performance metrics using available BI tools and ensure all reporting timelines are met.
•Provide analytics and insights to the business on consumer behaviour /usage and the impact of network performance on service revenue and prepare all business forecast.
•Provide data and insights to the finance decision support team (CBU & EBU) to make informed decisions on new product development and portfolio rationalization and ensure an elevated level of data quality for all reporting and analysis
•Provide data and insights to the commercial business units and finance decision support teams to aid in conducting post-implementation reviews on newly launched products.
•Collaborate with the finance decision support team (Technology) to generate actionable insights on cell site profitability and track regional performance
•Develop & maintain inventory of the enterprise information maps, including authoritative systems, owners
•Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise

Technical & Professional Qualification

•A Bachelor’s degree in Accounting, Finance, Engineering, Computer Science or Mathematics/Statistics, Actuarial Science.
•Prior experience in the telecoms industry (an advantage but not required)
•Knowledge in AI/ML, SAP, HFM, SQL, Python, R, Power BI, Tableau, and other relevant system software
•Knowledge of revenue streams within the telecoms industry (an advantage but not a requirement)