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  • Posted: Jun 9, 2022
    Deadline: Not specified
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    MultiChoice South Africa's activities involve the operation of Pay-Television and internet subscriber platforms. The MultiChoice South Africa group includes the digital satellite Pay-Television business ("DStv"), which has been in operation since 1995. Other businesses in the group are; M-Net (delivers thematic channels and exclusive content ...
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    Analytics and Insights Specialist

    Reports to: Senior Manager Customer Management
    Department: Customer Management
    Key Customers: CVM, Marketing, Sales teams
    Job Type: Full-time · Mid-Senior level

    Purpose of the Position

    • To provide accurate and timely reports and insights which contributes to strategic slide decks, advising and translating the data for use in strategic decisions in the Connected Video business, on the performance of partnerships, payment method and general reporting around factors impacting growth.
    • To act as a trusted partner, providing the data driven insights and actions to contribute to the strategic focus areas for payments and partnerships.

    Key Performance Objectives
    Analytics and Reporting:

    • To provide data-driven insights to enhance marketing optimization and investment decisions.
    • Provide analytical support and guidance to the marketing teams.
    • Actively drive and implement intelligent automation throughout customer value management.
    • Develop the company's capability in using customer behavior data to drive engagement and retargeting with intelligent automation on our omnichannel communications.
    • Provision of timely and accurate reports in accordance with business and management requirements.
    • Provide support to the CVM team comprised of marketing, product and technology analytics Identify opportunities to improve business as usual processes using modern technologies and automation, e.g. setting up API's using Python on Azure to dynamically insert latest and top-performing content into emails.
    • Provide funnel analysis and be able to set up campaign and testing together with the teams to track campaigns and impact on growth and the business.
    • Build customer segmentation and propensity models, implement targeted communications using the models.
    • Analyse marketing campaign performance, effectiveness and provide actionable insights for future planning and campaign development.
    • Set up tracking for campaign performance to ensure budget is allocated to best performing campaigns.
    • Analyse channel performance for the following channels and make recommendations as to where to move spend and creative resources.
    • Maintain, build and improve data consolidation and automation from media platforms, publishers, web analytics, and CRM platform to enable an integrated view of the data in one environment.
    • Attend weekly status meetings with business and analytics, contribute to cross-functional discussion, collaborate on large projects and support the process of discovering new opportunities.
    • Provide specialised analytical and technical support and guidance to CVM team.

    Qualifications & Experience
    Essential:

    • Degree in Science / Mathematics / Engineering / Data Science / Data Analysis

    Preferred:

    • Post Graduate qualification in Engineering/Data Science/Business Management

    Experience:

    • 4-8 years in an analytical or engineering field working with large data sets (streaming and batch)
    • Excellent analytics skills, Python or R, data mining, data visualization and SQL capabilities
    • Cloud experience – Azure, Data Factory, Databricks, Azure Synapse warehouse
    • Experience working with data warehouses/large databases
    • Experience with Spark/Hadoop/Big Data Systems/Non-relational Databases/Data Lakes
    • Experience in Tableau/Power BI/SSRS with working knowledge of DAX
    • Maintenance of data integrity and accuracy
    • Analyse, report and surface insights and feedback
    • Experience working with large data sets including data cleansing and validation
    • Ability to identify trends/behaviours from complex data sets and suggest where they can be applied.

    Competencies:

    • Analytical skills
    • Problem-solving
    • Attention to detail
    • Communication skills
    • Numerical capability

    Method of Application

    Interested and qualified? Go to Multichoice on www.linkedin.com to apply

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