Analyst - Customer Analytics, LSW at MTN Nigeria

Mission:

To assist in collecting, evaluating, and preparing research and/or other complex statistical data, narrative reports or presentations, and recommendations to have a better understanding of the customers’ needs at a micro-market level.

Description:

• Collect, analyze, interpret, and summarize data in preparation for the generation of statistical and analytical reports and provide intelligence that supports decision-making.
• Coordinate data requests with respect to pre- and post-return on investment data extraction, data samples for analytics, and other ad-hoc requirements.
• Maintain computerized collection and tracking of relevant data and appropriate records of research methods and results.
• Utilize specified statistical software to analyze and interpret research data, as appropriate to the individual position.
• Extract qualifying data based on defined campaigns and according to the approved campaign road map, as well as manage and update engine room tools.
• Provide support to the campaign segmentation analyst as required.
• Contribute and participate in campaign idea generation meetings and cross-functional Customer Lifecycle Management meetings as required.
• Demonstrate a broad understanding of the end-to-end Big Data ecosystem and dependencies to identify trends in customer dynamics.
• Interface with financial analysts and business units to understand their data requirements and reporting needs.
• Liaise with product management managers to understand the data needed to support and monitor product performance.
• Monitor network coverage and QoS to identify competitive weaknesses and strengths.

Education:

• First degree in Economics, Statistics, Mathematics, Computer science, Engineering, or any related field.
• Fluent in English.

Experience:

3–7 years of working experience, which includes:

• 2 years in a business analyst or business analyst support role.
• 2 years’ work experience within data analysis, programming, reporting, or general business experience, including formal business or market analysis and data manipulation or mining experience.
• Understanding of sales channel.