Analyst - Insights and Performance Insights and Analytics Fintech Fintech CEO's Office at MTN

Job Description
Mission/ Core purpose of the Job:  

• To provide specialist data support to the Mobile Financial Services (MFS) department through supervision of others. Support entails relevant analysis and data quality improvement activities to drive an improved data flows.  It also includes analysis of information on performance indicators and business value drivers and the extraction of reliable, high quality data from information and operational systems to allow production of main operational Key Performance Indicators ensuring that MTN’s true purpose and core responsibilities to the customer and particular business challenges are met as per the required standard.

Responsibilities
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:
Business Intelligence Measurements and Reporting

• Assist with analysing current data flows to identify areas of opportunity for improved data quality metrics
• To understand the analysis requirements of the business and to identify the underlying data development and design requirement
• Assist in data clean ups to information by ensuring that data is updated and referenced correctly
• Facilitate accurate data analysis and reporting of the Business Intelligence Team 
• 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

Internal Processes and Efficiency

• Prioritise requests and coordinate with IT to ensure availability, storage, sharing and certification of required information and data integrity
• Support with data and solution design for the implementation of an improved business analysis process
• Provide recommendations regarding campaign consolidation, integration, automation and optimisation based upon jobs requests worked upon

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

Role Complexity:  

• Interacting with the team members within the MFS Team to deliver quality of MFS data 
• Support the broader MFS Team to deliver MFS business objectives
• Understand data requirements of the business analysis projects
• Use reports and Dashboards to analyze 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
• To identify improvement opportunities with the current business data flows.
• To manage and successfully close out data improvement projects according to the requirements of the MFS department
• Accurately extract data required and reporting on the findings
• Provide unique and innovative ways of conducting data provisioning and reporting to users in keeping with the self-service approach
• 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

Vulnerabilities (control span) 

• Limited resources
• Reliance on the stability and availability of systems
• Evolution of technology
• Fluctuations in the market 
• Competitive activity
• Customer dissatisfaction
• Company project prioritisation
• Continuous improvement of process and data integrity down-stream
• Key customers: MFS Team, Products and Services, Network Group, Sales Team, Regional Marketing
• Key suppliers: IS, Finance, Service Providers
• Relations, etc.:

Discretionary Space:

• Independent thought and Judgment: 
• Project Management
• Dissemination of information
• Implementation of systems, processes and policies to effectively analyse and provide data and evaluate effectiveness within MFS
• Team motivation
• Budget compliance
• 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

Qualifications
Minimum Requirements:

• Global Education Standards (10):
• Minimum of three-year Degree / Diploma in Data Management or related field
• Fluent in English and one other official South African language
• Global Experience Standards (10)
• Minimum of 3 years’ experience in Business Operations, with specific focus on data 
• Experience working in a medium-to-large organization 

Training:

• Products and Services and Solutions
• Systems training
• Computer software training
• Project management
• Communication and Negotiation skills
• Assertiveness