Senior Manager - Analytics Insight and Machine Learning at MTN Nigeria

Mission:

Responsible for leading the architecture and development of advanced analytics use cases, modeling complex business problems, discovering insights, and identifying business opportunities using statistical, algorithmic, machine learning, mining, and visualization techniques. In addition to advanced analytic skills, this person needs to be proficient at integrating and preparing large, varied training and test datasets, optimizing 3rd-party models, leading the design and rollout of analytical toolsets, and supporting teams with their analytical capability building and design thinking.

Drive and play a critical role in helping advance the application of business intelligence, advanced data analytics, and machine learning as a core building block for our product offerings and strategy in order to achieve commercial KPI targets.

Description:

• Delivers annual CVM revenue targets for all services; Data, Mobile Money, Digital, Enterprise and channel.
• Participate in contract negotiations to reduce costs and drive MTNN value creation philosophy.
• Develop strategies and champion a customer-centric culture across the organization, and develop or reform relationships with MTNN’s internal and external customers to transform the MTNN’s revenue.
• Drive an increase in MTNN’s Net Promoter Score 
• Strategic partnerships with MTNN leadership team to drive awareness of expected behaviors and the impact of non-compliance on bottom-line results and company image and reputation. 
• Review market and internal conditions and contribute to the development of marketing strategies for consumer segments.
• Develop detailed plans and programs to achieve set targets for profitability, revenue, value, and market share, stir up preservation, etc., in support of defined marketing strategies. 
• Implement a strategy for market growth in conjunction with Product Development Managers, Regional Marketing, and other stakeholders.
• Responsible for cross-functional customer analytics with a focus on extraction, mining, and model development to solve business problems, exploit value-driven opportunities, and improve overall customer knowledge. 
• Proactively identifies segment business opportunities through analytical interpretation of data and information and develops robust campaign strategies with the aim of leveraging on the identified opportunities.
• Delivers segment insights that inform strategic and tactical decisions and lead to improved consumer knowledge and business results.
• Responsible for applying advanced analytics and statistical methods to prepare and analyze data for machine learning models, from prototypes to production (advanced segmentation, hyper-personalization, recommenders, etc.
• Responsible for driving fact-based customer analytics insights and their behaviour across the business and ensuring that each project delivers measured value.
• Drive the implementation of outbound and inbound marketing frameworks. Develop its key inputs, such as eligibility rules, arbitration prioritization, predictive models, offer value, levers, channel capacity, previous activity performance evaluation, customer investment rules, and strategic priorities.
• Assist with the definition and building of the customer decisioning logic and rules.
• Ensure the effective management of the customer decisioning logic/rules
• Manage the post-activity reports and in-depth performance evaluation to determine how existing decisioning rules can be enhanced to drive increased business benefits.
• Responsibility for leading a team that identifies and delivers all analysis for leavers, joiners, and customers at risk and in the early stages of their relationship with MTN Nigeria to give an informed direction to the campaign's development.
• Responsible for the development of best practices on building, testing, and deploying marketing rules ranging from triggered campaigns to real-time marketing campaigns.
• leads the team in developing effective customer retention strategies, identifying customer profitability, and employing churn modeling techniques to define the propensity to churn.
• Responsible for managing multi-channel direct marketing programs and using data to ensure that the right offers are developed for the right customers at the right time across all consumer touch points.
• Responsible for the building and development of churn predictive models and leading the analytics and campaign management teams to effectively operationalize these models.
• Collaborate with internal stakeholders and teams to drive awareness of the TMI (Test, Measure, Improve) programme and ensure all activities are delivered on time and within budget and meet relevant processes, operational requirements, and regulatory requirements.
• Coach and train the team to ensure understanding of the objectives and goals of the department, awareness of set targets/requirements and regularly review their training needs.
• Review the performance of individual team members and complete appraisals in accordance with the employee performance appraisal procedures and time schedules.

Education:

• First degree in Computer Science, Engineering, Statistics, Applied Mathematics, Economics, or related dicsipline
• Industry certification(s) and/or post-graduate/professional qualification(s) in a related field (an added advantage)
• Fluent in English

Experience:

9–17 years of experience comprising:

• Manager track record of 5 years or more, with at least 3 years in the relevant sector or industry.
• 4-6 years of customer lifecycle management experience
• 4 years’ experience in telecom’s marketing, strategy development, and implementation
• Expert knowledge of the competitive environment, consumer trends, and trade practices in the industry
• Experience in applying various quantitative techniques to address business problems.
• Strong acumen in implementing machine learning models and advanced analytics use cases.
• Experience leveraging analytical tools including SQL, Python, R, and Power-BI to build analytics products and perform analysis.
• Experience reviewing code for analytics models and providing recommendations for performance improvement.
• Experience presenting to and communicating with senior leadership teams to influence product direction and strategy.
• Experience in collaborating with subject matter experts to select the relevant sources of information and translate the business requirements into a data mining project. Adept at breaking down a project into its constituent phases.
• Experience with research- and analytics-driven quantitative pricing techniques (e.g., choice modeling)
• A strategic and creative thinker capable of developing analytical programs or solutions to address key business challenges or opportunities.
• Previous experience identifying and driving the deployment of analytical collateral across a range of delivery channels and measuring its effectiveness
• Strong communicator who can operate at all levels, taking complex analysis, interpreting it, and communicating it appropriately to different audiences.