Analyst - Machine Learning Marketing

MTN Nigeria is seeking a Machine Learning Marketing Analyst to drive data-driven insights and support customer lifecycle management through advanced analytics and machine learning.

Responsibilities

• Collect, analyze, interpret, and summarize data to generate statistical and analytical reports supporting decision-making
• Proactively investigate key business questions and communicate improvements in efficiency and productivity
• Support CVM commercial team in identifying opportunities for campaign creation
• Perform data mining and statistical modelling for machine learning use-cases
• Train and retrain ML systems and models as needed
• Work with data engineers, business analysts, statisticians, and subject matter experts to uncover insights
• Identify data distribution differences affecting model performance
• Visualize data and analyze ML algorithm use cases
• Verify data quality through cleaning and validation
• Design systems, alerts, and dashboards to monitor ML workflows
• Document machine learning processes and ensure accurate CVM recommendations
• Participate in campaign idea generation and cross-functional Customer Lifecycle Management meetings

Requirements

• First degree in Mathematics, Statistics, Computer Science, Engineering, or related discipline
• 3–7 years of overall experience, including 1–2 years in AI/ML analyst roles
• Advanced proficiency in Python, SQL, and PySpark
• Understanding of big data technologies
• Experience in data aggregation, transformation, exploration, pipeline creation, model building and validation
• Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture
• Strong analytical, problem-solving, and teamwork skills
• Excellent oral and written communication skills in English
• Solid understanding of predictive analysis, machine learning, and data mining
• Good understanding of customer data analysis, propensity modelling, and segmentation techniques

Preferred Qualifications:

• Certification in machine learning, data engineering, data science, or related fields
• Experience working in a medium organization

How to Apply

No application instructions provided in the posting.