Senior Manager – Business Intelligence – Cameroon

Job Description

 

The Senior Manager – Business Intelligence is responsible for:

Key Performance Areas: Core, essential responsibilities / outputs of the position (KPA’s)

Key Tasks: Indicates those KPA’s that are essential to the position itself. Excludes role and leadership / management.

  • Develop and execute continuous improvement plans for research and customer knowledge
  • Ensure quality assurance on research produced by the market research team and for providing strategic direction on the research plan / schedule
  • Drive the business planning process of the company
  • Ensure relevant business rules are applied in the budget process and forecasting scenarios
  • Ensure quality drivers and assumptions for the Business plan from gross revenue to margin
  • Review and quality assure tariff / pricing strategy on all commercial / retail and interconnect tariff regimes
  • Develop appropriate framework for setting marketing plans and network roll out plans / requirements
  • Evaluate network rollout form a customer perspective and provide the relevant direction to marketing and sales teams
  • Liaise with other departments such as finance, network group and enterprise solution to understand their research, reporting and analytical needs, take these needs and support the departments by mobilizing the customer knowledge and research teams to deliver on those needs
  • Coordinate all activities within Business Intelligence function to ensure alignment, integration of effort and minimise duplications and conflicts
  • Redesign operational systems and procedures to achieve operational excellence
  • To realize deep analysis of Opco performance in order to identify factors impacting revenue and EBITDA.
  • To develop models to understand the effect of marketing and competitor actions upon Opcos’ performance.
  • Realize deep analysis of Opco performance in order to identify factors impacting Churn.
  • Develop models in order to monitor and to understand the effect of marketing and competitor actions.
  • Develop churn prediction models with a segmented approach in order to build tactical corrective actions.
  • Propose loyalty initiatives based on churn analyses.
  • Cooperate closely with cross functional teams and provide input to overall strategic direction
  • Benchmark international Business Intelligence practices and continually improving the marketing intelligence framework

 

Supervisory / Leadership / Managerial Tasks

  • Coach and mentor direct reports to ensure staff motivation is high
  • Guide and direct vendors and third parties in achieving Opco’s objectives
  • Identify staff training and development needs and implements necessary actions
  • Manage the performance and deliverables of direct and indirect reports to ensure that the objectives of the department are achieved
  • Monitor reports for accuracy and adherence to service level agreements
  • Set goals and objectives for direct reports, monitor progress and maintain motivation
  • Set up appropriate structure to meet departmental management objectives

 

Role Dependencies:  Does not refer to the various “roles” that the incumbent has to assume in the conducting of the duties. Instead, this would be additional complexity that should not be inherent in this job, but the incumbent has responsibility for.

  • Co-operation with departments providers of  internal information ( Information System, Finance, Network)
  • Alignment across the various business to business segments – understanding the various segments; their challenges and associated complexities in delivering projects within time; budget and scope
  • Alignment to MTN Group activities

 

Lateral Dimensions: These indicate the areas where the individuals could contribute uniquely in addition to the indicated duties, as well as how they could be affected by others or circumstances not necessarily under their control.

  • Consensus building; conflict resolution and prevention; strong understanding of team dynamics
  • Continually improve on the integrity and quality of the data sources and data
  • Contribute towards continuous improvement through the implementation of best practice
  • Convert the opportunities and threats availed by the specific country; its natural resources and people; into workable solutions
  • Develop meaningful partnerships with internal stakeholders; suppliers and partners
  • Identify and implement of new best practices

 

Collaboration: Refers to formal and informal relationships.

  • Line Manager: Chief Marketing Officer
  • Direct reports : Business Planning Manager,  Data Mining Manager, Market Insight Manager
  • Key customers: Marketing (Product Development, Communication, Segments Managers), Sales & Distribution
  • Key suppliers: External Research Organisation

 

Minimum Requirements

Education:

  • BSc in Marketing, Statistics or Computer Science (must be comfortable in at least two of these areas)
  • MBA (is an advantage)
  • Good knowledge of Microsoft office tools.
  • Good command of both English and French.

 

Experience:

  • At least 7 years experience in the Business intelligence of which 4 years experience in telecoms industry and,
  • At least two (2) years experience in a managerial role.

 

Training:

  • Data mining and predictive model
  • Statistic and multivariate analysis
  • SAS base, SAS Enterprise Miner, R and Oracle
  • Data Quality and exploratory
  • Game theory and Micro economic
  • Market research techniques and methodology

 

Competencies

 

Knowledge:

  • Statistical modeling and multivariate analysis
  • Data mining and predictive analytics
  • Complex market research
  • Forecasting techniques
  • Pricing analysis
  • Reporting and performance analysis
  • Marketing planning
  • Project management
  • Financial acumen
  • Information management
  • Marketing and sales acumen
  • Performance enhancement and improvements
  • Problem solving
  • Strategic thinking
  • Vendor management.

 

Skills / physical competencies:

  • Extra good numerical mind
  • Excellent command in Microsoft Excel and VBA
  • Advanced statistical software skills (SPSS, SAS, SPAD, etc)
  • Good analytical skills
  • Must be able to work under pressure
  • Investigation
  • Leadership and management skills
  • Learning and self development
  • Negotiating