Data Scientist CVM

Company:
Location: Randburg, Gauteng

*** Mention DataYoshi when applying ***

The Organization



The MultiChoice Group is a broad-based multinational media and entertainment group headquartered in South Africa, Dubai and Netherlands with principal operations in pay television, video entertainment, advertising and content security serving rapidly growing base of 20 million subscribers. Brands within the Group include DSTV, GOTv, SuperSport, M-net, DSTVnow, Showmax and Europe based content security leader Irdeto.


MultiChoice Group has a successful history of identifying trends early, adapting them for our markets and leveraging them to provide the best experience to customers in Africa. The group’s strength lies in its focus on local language and culture, its entrepreneurial spirit and the quality of its workforce. By joining our team, you can help in achieving our objectives, namely: Expand Pay TV, grow SVOD subscriber base and advertising sales; focus on investment and technology; maintain a local approach, provide quality service and attract innovative and motivated employees.


Join Africa’s most loved storyteller!



Position Name


Data Scientist CVM


Reports to


Senior Manager Analytics and Insights



Direct Reports


None



Division

Connected Video


Department


Analytics



Purpose of the Position

  • Extract and gather data from various sources, both real time event streams and batch, develop technical architectural solutions in the cloud utilizing this data for intelligent automation and data driven insights.

Key Performance Objectives


Tasks



CVM Analysis


  • Envision, in partnership with CVM, and design technical architectural solutions to drive the continued automation, improved analytics and increasing maturity of the CVM ecosystem. Developing data models, pipelines, integration interfaces (APIs/CosmosDB) to Braze and other relevant tools, including internal CMS interface and Recommendations engines.
  • Identify opportunities to improve the data ecosystem with new software or hardware tools available in AWS/Azure, ensuring best practices in solution design and data modelling.
  • Develop integrations between Braze, Data warehouses, Real time databases, feature stores, recommendations engines, content management systems, product back end and other relevant sources and destinations.
  • Identify pockets of opportunity to improve the processes around CVM communications, including designing technical solutions to improve team efficiency and reduce manual work.
  • Define and complete projects from inception to production, in partnership with CVM and external agencies, ensuring the data ecosystem accommodate both the requests and where possible generalized solutions for future requests.
  • Translate the requirements gathered from CVM, Connected Video leadership team and other stakeholders into work items and actionable projects that aligns with the long-term architectural vision for the marketing tech stack ecosystem.
  • Design and develop databases, feature stores, data marts, data warehouses and data models (in Delta Lakes, Azure Analysis Services and Relational databases as needed).
  • Design and maintain ETL processes and real time data pipelines feeding above data stores with accurate and timely data.
  • Develop the company’s capability in using customer behavior data to drive engagement and retargeting with intelligent automation on our Omni-channel communications.
  • Provide support to the CVM team comprised of marketing, product and technology analytics, creating reporting packs, dashboards or presentations.
  • 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. Design data event models and tracking schemas.
  • Provide clean and usable data to the internal and group wide teams, including but not limited to data cleansing, mapping, data design, repository creation, metadata management and repository creation.
  • Build customer segmentation and propensity models, implement targeted communications using the models.
  • Analyse marketing campaign performance, using data mining and statistical methods to determine effectiveness and provide actionable insights for future planning and campaign development.
  • Analyse channel performance for the following channels and make recommendations as to where to move spend and creative resources across Push Notifications, Email Communications, SMS, Paid remarketing on Facebook/Google Ads.
  • 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.
  • Design and implement complex user journeys in our CRM tool to maximize overall conversion and retention rates, including the development of custom APIs and integrations.
  • 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.


Stakeholder Relations


  • Provide specialised analytical and technical support and guidance to CVM team
  • Establish and monitor healthy, diverse internal and external stakeholder relations and implement remedial actions where required, in the achievement of organisational goals
  • Oversee data relationship with external agencies and other 3rd party analytics providers that offer CVM insights and operational support


Reporting


  • Provision of timely and accurate reports in accordance with business and management requirements
  • Report on status, risk and timelines regarding performance analytics to provide visibility and line of sight
  • Compile and provide complicated analysis to a non-technical audience, design reports and slide decks to communicate insights to management


Qualifications Essential

  • Degree in Mathematics/Engineering/Data Science/Data Analysis
  • Post Graduate qualification in Mathematics/Data Science/Data Analysis/Coding would be advantageous


Experience

  • 6-10 years in an analytical field
  • Excellent analytics skills, Python or R, data mining, data visualization and SQL capabilities
  • Software development experience
  • Experience working with data warehouses/large databases
  • Experience in Tableau/Power BI/SSRS
  • Maintenance of data integrity, data warehouses, real time data feeds and data feature stores
  • 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
  • Cloud experience – Azure, Databricks, Azure Functions, Event Hubs and Streaming Analytics (advantageous)
  • Experience with streaming analytics and data pipelines (advantageous)


Technical Competencies

  • Analytical skills
  • Data Warehousing
  • Data Analyses
  • Programming
  • Data Mapping
  • Reporting
  • Problem-solving
  • Attention to detail
  • Communication skills


Behavioral Competencies

  • Comfortable in agile and rapidly changing environment
  • Relationship Building
  • Conflict Resolution
  • Decision Making
  • Critical Appraisal
  • Holistic Thinking
  • Persuade & Influence
  • Coaching



Job: Technical
Primary Location: ZAF-GT-Randburg
Organization: MultiChoice South Africa
Schedule: Full-time
Job Posting: 26-08-2021
Closing Date (Period for Applying) - External: 03-09-2021

*** Mention DataYoshi when applying ***

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