Analyst, Analytics and Consumer Insight at MTN Nigeria

Job Description

• Responsible for leveraging the enterprise data warehouse and other data sources to build sophisticated and advanced analytics models for insight generation to aid decision making and base optimization activities.
• He/She is responsible for understanding and analyzing the base to derive usable and practical segmentation to aid design and creation of micro-segmented offers for revenue optimization and churn reduction
• Develop and utilize data collection instruments and methods for the evaluation and quality control of research or operational data
• Collect, analyze, interpret, and summarize data in preparation for 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 sample for analytics, and other ad-hoc requirements.
• Maintain computerized collection and track 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 campaign segmentation analyst as required.
• Contribute and participate in campaign idea generation meetings and cross functional Customer Lifecycle Management meeting as required
• Perform Customer Lifecycle Management data analysis and requests.
• Demonstrate broad understanding of Big Data end-to-end 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
• Continuously seek self-professional development to sharpen skills and capabilities in a versatile and evolving digital landscape.
• Foster active collaboration and relationships with employees across all levels and divisions in line with MTN's VB and values.

Job Condition

• Normal MTNN working conditions
• May be required to work extended hours
• Open plan office

Experience & Training
Education:

• First degree in Mathematics, Computer Science, Engineering or other related marketing or Social; Science discipline
• Fluent in English

Experience:

• Minimum of 3 years experience; with experience working with others
• Experience working in a medium organization
• Working knowledge of data mining/ analysis using statistical analytical system( SAS) & SQL, problem solving and reporting/presentation
• Good understanding of customer data analysis, propensity modelling and segmentation techniques; excellent understanding of data manipulation and interrogation techniques.
• Good knowledge of statistical modeling techniques and algorithms.

Minimum qualification:

• BA, BEd, BSc or HND.

go to method of application »

Job Description

• Responsible for leveraging the enterprise data warehouse and other data sources to build sophisticated and advanced analytics models for insight generation to aid decision making and base optimization activities.
• He/She is responsible for understanding and analyzing the base to derive usable and practical segmentation to aid design and creation of micro-segmented offers for revenue optimization and churn reduction
• Develop and utilize data collection instruments and methods for the evaluation and quality control of research or operational data
• Collect, analyze, interpret, and summarize data in preparation for 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 sample for analytics, and other ad-hoc requirements.
• Maintain computerized collection and track 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 campaign segmentation analyst as required.
• Contribute and participate in campaign idea generation meetings and cross functional Customer Lifecycle Management meeting as required
• Perform Customer Lifecycle Management data analysis and requests.
• Demonstrate broad understanding of Big Data end-to-end 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
• Continuously seek self-professional development to sharpen skills and capabilities in a versatile and evolving digital landscape.
• Foster active collaboration and relationships with employees across all levels and divisions in line with MTN's VB and values.

Job Condition

• Normal MTNN working conditions
• May be required to work extended hours
• Open plan office

Experience & Training
Education:

• First degree in Mathematics, Computer Science, Engineering or other related marketing or Social; Science discipline
• Fluent in English

Experience:

• Minimum of 3 years experience; with experience working with others
• Experience working in a medium organization
• Working knowledge of data mining/ analysis using statistical analytical system( SAS) & SQL, problem solving and reporting/presentation
• Good understanding of customer data analysis, propensity modelling and segmentation techniques; excellent understanding of data manipulation and interrogation techniques.
• Good knowledge of statistical modeling techniques and algorithms.

Minimum qualification:

• BA, BEd, BSc or HND.

go to method of application »

Job Description

• Responsible for leveraging the enterprise data warehouse and other data sources to build sophisticated and advanced analytics models for insight generation to aid decision making and base optimization activities.
• He/She is responsible for understanding and analyzing the base to derive usable and practical segmentation to aid design and creation of micro-segmented offers for revenue optimization and churn reduction
• Develop and utilize data collection instruments and methods for the evaluation and quality control of research or operational data
• Collect, analyze, interpret, and summarize data in preparation for 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 sample for analytics, and other ad-hoc requirements.
• Maintain computerized collection and track 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 campaign segmentation analyst as required.
• Contribute and participate in campaign idea generation meetings and cross functional Customer Lifecycle Management meeting as required
• Perform Customer Lifecycle Management data analysis and requests.
• Demonstrate broad understanding of Big Data end-to-end 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
• Continuously seek self-professional development to sharpen skills and capabilities in a versatile and evolving digital landscape.
• Foster active collaboration and relationships with employees across all levels and divisions in line with MTN's VB and values.

Job Condition

• Normal MTNN working conditions
• May be required to work extended hours
• Open plan office

Experience & Training
Education:

• First degree in Mathematics, Computer Science, Engineering or other related marketing or Social; Science discipline
• Fluent in English

Experience:

• Minimum of 3 years experience; with experience working with others
• Experience working in a medium organization
• Working knowledge of data mining/ analysis using statistical analytical system( SAS) & SQL, problem solving and reporting/presentation
• Good understanding of customer data analysis, propensity modelling and segmentation techniques; excellent understanding of data manipulation and interrogation techniques.
• Good knowledge of statistical modeling techniques and algorithms.

Minimum qualification:

• BA, BEd, BSc or HND.