Analytics and Insights Specialist at MultiChoice Group

Full Time Jobs

Lagos

Posted 3 years ago

The MultiChoice Group is a multinational media and entertainment group headquartered in South Africa, Dubai and the Netherlands with principal operations in pay television, video entertainment, advertising and content security. Brands within the Group include DStv, GOtv, SuperSport, M-Net, DStv Media Sales, Showmax and European-based content security leader Irdeto. We’re proud to say we serve 14 million households across 50 African markets, with a successful history of identifying and adapting to industry trends, allowing us to continuously deliver the best in entertainment.

Our strength lies in focusing on local language and culture, promoting an entrepreneurial spirit and being powered by a talented and dedicated workforce. By joining our team, you can help us achieve our objectives of expanding our pay-TV and SVOD (Subscription Video On demand) subscriber bases, improving advertising sales, spearheading cutting-edge technology, supporting local content and providing an exceptional customer experience.

We are recruiting to fill the position below:

Job Title: Analytics and Insights Specialist

Location: Lagos, Nigeria
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: