Mission/ Core purpose of the Job:  
•To deliver analytics and insight within the digital services organization to support MFS. Assist in solving business problems and exploit untapped opportunities using AI, machine learning and deep-learning through the development of models, algorithms and software. Be the data subject matter expert on the services within the digital domain 

Context: 
•    Highly dynamic and fluctuating telecommunications industry
•    Positioning of MTN as leading telecommunications player in the market
•    Within the dynamic legal, regulatory and commercial environment of South Africa
•    Highly competitive market with new and established competitors
•    Fast moving industry
•    Context changes in terms of technology advancements
•    Legislative changes
•    Ongoing technology advancements
•    Changes in consumer behaviour 
•    Work within the data warehousing and datamart environments
•    Dynamic technology environment
•    Highly specialized working environment
•    Complex and multiple data sources
•    Large volumes of Data
•    MTN system and Data architecture
•    MTN Data entity definitions
•    Fluctuating market trends and indicators
•    Broad product and service portfolio

Key Performance Areas: 
Task Complexity:
Intelligence Measurements and Reporting
•    Research on customer buying and data usage patterns in order to have a holistic analysis
•    Assist with data extraction for customers from internal and external sources within the MTN SA market
•    Assist in data clean ups to information by ensuring that data is updated and pruned
•    Thoroughly scrutinize data in order to determine SWAT across all of MTN SA segments
•    Report on relevant performance metrics for the business objectives in line with Business objectives
•    Facilitate accurate data analysis and reporting of customer analytics and intelligence
•    Delivery of insightful market intelligence and insights to support business intelligence objectives utilising customer analytics
•    Interpret data and develop relevant recommendations based on data analysis findings
•    Develop graphs, reports and presentations of projects results
•    Perform basic statistical analysis for projects and reports
•    Data manipulation and modelling
•    Customer behavioural analysis
•    Predictive modelling and machine learning
•    Create and present quality dashboards
•    Generate standard monthly and ad hoc reports

Internal Processes and Efficiency
•    Prioritise requests and coordinate with IT to ensure availability, storage, sharing and certification of required information and data integrity
•    Support data and application design for the implementation of an automated customer analytics
•    Provide recommendations regarding campaign consolidation, integration, automation and optimisation based upon jobs requests worked upon
•    To provide more insights into the ways to target customers

Operational Planning and Management
•    Plan and coordinate the data extraction and reporting processes
•    Consider the long term (1-2 years) implications of action from a broader perspective
•    Consider local conditions, as well as competitor activity
•    Identify and exploit new opportunities to grow the business further
•    Identify innovative ways to use minimum resources to achieve maximum outputs

Advanced Analytics and Data Science:
•    Good understanding of all machine learning fundamentals
•    Enjoy coding in one of or all of R, SAS or Python (even with its weak definition of scope)
•    Work with both SQL and NoSQL databases
•    Work with Big-data stores such as Hadoop via Hive, Spark etc.
•    Implement deep-learning algorithms to solve real business problems
•    A complicated emotional response to both vanishing and exploding gradients 
•    A data story teller, you are happy communicating your findings via dashboarding (Tableau, Power BI) or through presentation (Excel, PowerPoint)
•    Strong written and verbal communication skills

Strategic Input
•    Understand how business and IT requirements can be met using the correct blend of existing and new IT technologies.
•    Develop goals, strategies, and plans needed to achieve the portfolios vision and build the capabilities to enable optimal delivery with input from relevant stakeholders.
•    Support the enablement of a self-service philosophy
•    Create and implement the concepts and ideas for possible future implementation.
•    Assist with developing the information roadmap, sourcing of new data sets and phasing of core reference data sets

Supervisory / Leadership / Managerial Complexity:  
•    Manage activities between internal MTN departments and resources.
•    Ensure accountability such that customer centricity culture is adhered to
•    Maintain good Employee relations and enhance collaborative teamwork
•    Mentorship, Coaching, Guidance and training to digital team
•    Build professionalism, loyalty and commitment to the organization

Role Complexity:  
•    Interacting with the team members within the departments through the Customer lifecycle management and Product Performance to deliver on the Business priorities
•    Support the Digital team to deiver on Customer lifecycle and Product management business objectives
•    Understand campaigns that introduced to market
•    Data Manipulation and Modelling
•    Customer behavioural analysis
•    Predictive modelling
•    Statistical analysis
•    Use reports and Dashboards to analyse marketing data
•    Must be proficient in MS Office and Statistical Software Packages, e.g. SAS, SPSS, JMP, SQL, R

Lateral Dimensions: 
Creativities (improvement/innovation inherent)  
•    Effecting job request in a timely and efficient manner
•    Accurately extract data required and reporting on the findings
•    Provide unique and innovative ways of conducting data provisioning and reporting to users
•    Explore innovative ways to enhance the analytical and data supporting offerings
•    Establish sound relationships with all other business areas and stakeholders
•    Identify innovative ways to use minimum resources to achieve maximum outputs
•    Identify and exploit new opportunities to grow the business further
•    Apply market insights and intelligence in an optimal way to add as much value to relevant business arears
•    Speedy communication of results and recommendations to the relevant areas to enable the development of competitive advantage
•    Encourage continuous service improvement
•    Proactively seek information on business issues, particularly outside the Marketing Support unit which may impact on the unit 
•    Motivate peers and reports through innovative interaction

Vulnerabilities (control span) 
•    Limited resources
•    Unavailability and ineffective application of resources
•    Ineffective application / system support  (SLA)
•    Reliance on the stability and availability of systems
•    Insufficient storage space to conduct data analysis exercises
•    Lack of data integrity
•    Evolution of technology
•    Fluctuations in the market 
•    Competitive activity
•    Ineffective support from key stakeholders 
•    Customer dissatisfaction
•    Non-achievement of turnaround times
•    Inappropriate processes resulting in delayed service to clients
•    Company project prioritisation
•    Unrealistic business expectation vs delivery
•    Continuous improvement of process and data integrity up-stream

Collaboration:  
Responsibility towards:  
•    Direct reports: None
•    Matrix reports: None
•    Key customers: MTN SA Executives, General Managers and Senior Managers with their functional areas 
•    Key suppliers: Technology Team, Finance, Service Providers, Competitive Intelligence, Marketing Support Team
•    Relations, etc.: All departments in MTNSA and Group, MTN’s business strategy, MTN IS operations and applications, Network division, Enterprise business unit (EBU)

Discretionary Space:
Independent thought and Judgment: 
•    Can set objectives for the unit
•    Dissemination of information
•    Implementation of systems, processes and policies to effectively analyse and provide data and evaluate effectiveness within business unit
•    Team motivation
•    Budget compliance
•    Resource allocation
•    System, process and procedure fine-tuning and development to achieve business objectives
•    Work with minimal restriction on boundaries of requirements (reporting, assignments, etc.)
•    Proactively identify opportunities for data/report provision to key stakeholders
•    Interpret, evaluate ad make recommendation based upon findings of trended information and outputs

Minimum Requirements:
Global Education Standards (10):
•    3 year Degree / Diploma in Commerce (Statistics, Mathematics, Computer Science, Engineering, Physics) or related
•    Fluent in English and one other official South African language

Global Experience Standards (10)
•    Minimum of 5 years’ experience in Commerce (Statistics, Mathematics, Computer Science, Engineering, Physics); with experience in supervising others 3+ years data science and machine learning experience
•    Experience working in a social media or digital service organisation
•    Experience in deep learning a major plus 
•    Experience working in Telecommunications a major plus
•    Experience working in a Large organization  

Training:
•    Data science
•    Advanced analytics
•    Data Visualisation (tools such as Power BI, Tableau etc.)
•    Products and Services and Solutions
•    Systems training
•    Computer software training
•    Project management
•    Communication and Negotiation skills
•    Assertiveness