Analyst, CEM Data (Supervisory) at MTN Nigeria

MTN Nigeria – The leader in telecommunications in Nigeria, and a part of a diverse community in Africa and the Middle East, our brand is instantly recognisable. It is through our compelling brand that we are able to attract the right talents who we carefully nurture by continuously improving our employment offerings even beyond reward and recognition.

We are recruiting to fill the position below:

Job Title: Analyst, CEM Data (Supervisory)

Location: Nigeria

Job Description

Develops dashboard or reports that measure customer or service metrics for various functional areas across all commercial teams.
Identify innovative ways for measuring, improving or reporting business insights
Identify opportunities for building new use cases by understanding & translating raw data & kpis into actionable work functions
Liaise with approved mtn communication agencies i.e. pr, advertising, and media etc. To ensure a customer-centric communication to the customer from the customer services division.
Support development and deployment of customer experience management systems and tools as may be required to deliver actionable business insight and recommendations.
Evaluate impact of service degradation on the customer kpis & kqis, other key metrics & business objectives
Execute ad-hoc data analytics requests

Job Condition

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

Requirements, Experience & Training

Education:

First degree in Mathematics, Economics, Computer Science, Information Management or Statistics or any related discipline.
An MSc Or MBA is an added advantage
Fluent in english

Experience:

Minimum of 3 years’ experience in an area of specialisation; with experience with working with others
Experience working in a medium organization.
Knowledge of database tools, data visualization applications such as microsoft power bi, oracle, sql, big data, vba, etc
Experience in data analysis, problem solving and reporting/presentation.
Good understanding of hive, apache pig, storm and spark
Ability to run sql over hadoop.
Knowledge of big data management in non-sql environment
Big data dashboard implementation
Capable of leading process analysis and providing objective feedback on areas of improvement
Familiarity with implementing analytics solutions with one or more hadoop distributions (cloudera, hortonworks, mapr, hdinsight, emr)
Proficient in python and/or java
Familiarity or strong desire to learn quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)