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  • Posted: Nov 8, 2023
    Deadline: Not specified
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    MTN Group Limited entered the telecommunications scene at the dawn of South Africa’s democracy, in 1994. In 1998, we began our expansion by acquiring licences in Rwanda, Uganda and Swaziland. Since then, we continued to grow, with a view of bringing world-class telecommunications and digital services to markets across Africa and the Middle East. Throug...
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    Manager - CVM Analytics and Insights – Prepaid, Digital and MFS

    RESPONSIBILITIES

    • Context (Global influences, environmental / industry demands, organisational mission etc.)
    • We are looking for a commercially minded CVM Analytics & Insights Manager to champion the use and application of advanced analytics for the Prepaid CVM business unit.
    • The CVM Analytics & Insights Manager will be responsible for full exploitation of data and analytics to drive prescriptive as well as predictive insights for advanced base management objectives. 
    • The CVM Analytics & Insights Manager will partner with broader MTNSA data squad members ranging from data governance, data engineering to ML Ops to deliver advanced analytical solutions and capabilities for Customer Value Management.

    Key Performance Areas: Core, essential responsibilities / outputs of the position (KPA's)
    Strategy

    • Contribute to the overall CVM strategy through advanced analytics to Identify opportunities to stimulate revenues by upselling, cross-selling and other customer lifecycle programmes to increase ARPU and retention. 
    • Set up best practice self-serve analytics and insights reporting capability across CVM.
    • Drive the adoption and use of advanced analytics solutions and capabilities such as machine learning to enable contextual CVM targeting.
    • Create an environment that enables innovation for direct subordinates and across cross-functional teams.

    Delivery

    • Perform extensive analysis to uncover potential ARPU uplift opportunities on subscriber cohorts for bespoke targeting and treatment. 
    • Deliver predictive and recommendation models for CVM using the latest Big Data and ML tools partnering with BICC and IS teams within the broader cross-functional and agile MTNSA data squad
    • Partner with BICC and IS teams that support CVM to brief data and modelling requirements contributing to the broader CVM strategy and objectives
    • Conduct ad-hoc deeper dives to provide insights on performance and enable decision making.
    • Evolve the capability and impact of the CVM through the delivery of campaign analytics and reporting for CVM initiatives.
    • Drive analytics solutions automation to build efficiencies
    • Champion a ‘test, learn and iterate’ culture with the data squads to ensure timely execution of analytical solutions.
    • Effectively identify the value of analytics within the CVM context and serve as an CVM SPOC within MTNSA ML Studio to ensure realisation of value from the analytics initiatives.
    • Build and manage micro-segmentation for CVM inbound to enable better targeting and conversion improvements
    • Work closely with commercial and segment teams to enable advanced base management through the delivery of prescriptive and or predictive insights and identify subscriber cohorts within the MTNSA base, thus enabling bespoke solutioning for the subscriber base to improve performance.
    • Use advanced analytics to enable self-service dashboards that provide prescriptive insights to improve overall CVM performance and drive advanced base management
    • Unlock customer insights for the broader Consumer teams as a custodian of customer insights to support broader strategic initiatives.

    QUALIFICATIONS:

    • Job Requirements (Education, Experience and Competencies)

    Education: 

    • University degree or equivalent qualification with analytical focus, (e.g. actuarial science, statistics, mathematics, computer science, economics, engineering etc.)

    Experience:

    • Min 5-6 years of relevant work experience 
    • Fluent in English and other South African Languages
    • Experience in CVM methodology, principles, capabilities, and techniques.
    • Experience in development and use of predictive models
    • Prior experience of telecommunications industry advantageous.
    • Curious mindset and continuously learning as well as evolving technical skills
    • Technical experience using tools such as SQL, Python, Spark and reporting tools such as Power BI, Tableau. Google Cloud Platform (GCP) experience and or certification advantageous.

    Method of Application

    Interested and qualified? Go to MTN on ehle.fa.em2.oraclecloud.com to apply

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