Manager - Analytics at Etisalat Nigeria
Etisalat's vision is a world where people's reach
is not limited by matter or distance; a world
where people will effortlessly stay in touch with
family and friends; a world where businesses of
all sizes can reach new markets without the
limitations of distance and travel.
We are recruiting to fill the vacant position below:
Job Title: Manager - Analytics
Location: Nigeria
Job Summary:
- As part of the Customer Value Management
team, the role holder will be responsible for
developing and conducting advanced modelling
and analytics of customer data available across
the enterprise by providing strategic actionable
insights that are turned into campaign actions
and results.
- Leveraging internal data as well as external
market data to develop quantitative and
predictive models while conducting analyses in
support of the customer value management
team.
- Provide a stream of practical actionable insights
to the rest of the business covering analysis of
customer behavioural patterns and potential
campaign and recommend hidden opportunities
through data insights.
- Perform advanced micro analysis of customer
value bands within the database with practical
insights and recommendations on how to grow
value and extend customer lifetime value by
turning customer insights into tangible
campaigns and actions that will drive revenue.
- Leveraging on advanced statistical analyses with
a detailed understanding of data mining
techniques e.g. predictive modeling,
segmentations and providing strategic
recommendations and insights into key areas
such as: retentions, churn, LTV, CVM, Portfolio
Management and Product Management.
- Design advanced analytics to address customer
behavior associated with customer identification
attraction, retention and customer developments.
- Use data mining tools in interpreting and
analyzing large data sets through cluster
analysis, CHAID/CART, latent class, or other
segmentation methods.
- Design models and advanced analytics to
address customer behavior associated with
customer identification, attraction, retention and
customer development.
Educational Requirements
- A first degree in relevant numerate discipline.
- Industry Certification(s) and or Postgraduate/
Professional qualification(s) in a related field (an
added advantage)
- Expertise in data mining, transformation, and
analysis
- Expertise in building customized models in SAS,
SQL, or other data-mining / ETL tools
- Ability to use business judgment to guide
analysis, draws implications from analysis, and
synthesize into clear communications.
- Excellent understanding of data manipulation and
interrogation techniques, data mining and
statistical techniques such as linear and
logistical regression, CHAID and clustering
- Six (6) to Eight (8) years relevant work
experience with at least three (3) years in a
supervisory role.
Application Closing Date
Not Specified.
Method of Application
Interested and qualified candidates should:
Click here to apply online
