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Manager Planning & Analytics – Business Intelligence Division Job Placement – MTN Uganda
Job
Title: Manager Planning & Analytics
– Business Intelligence Division
Organisation: MTN-Uganda
Duty Station: Kampala,
Uganda
Reports to: Senior
Manager BI & Market Research
About US:
MTN-Uganda is the
leading telecommunications Company in Uganda, providing payphone, fixed lines,
fax/data, internet and mobile services.
Job Summary: The Manager Planning & Analytics -Business
Intelligence Division will lead and drive a team of data analysts to build and
deploy the MTN Uganda BI analytics roadmap. He/She will support all business
verticals with regular and ad hoc analytics to enable greater visibility of
business performance and RCA.
Key Duties and Responsibilities:
•
To lead
the team of data analysts to ensure quality and accuracy in MTN Uganda
analytics roadmap delivery
•
Work
with segment leads across verticals to identify analytics support areas across
S&D, Marketing, EBU, products, CVM, CEX and deploy analytical frameworks as
per briefs received
•
Identify
business opportunities, risks and proactively carry out data analysis to help
business verticals to be better aware
of business trends and business opportunities
•
Support
business functions in the process of building product and services business cases,
pre and post analysis
•
Build
and deploy advance data models to provide predictive behavioral analytics
across critical business levers like churn,
bundle purchase, loyalty, etc.
•
Ensure
timely and accuracy of delivery of all
pre-agreed reports and analysis
•
Work
with the BI technology vertical in
migration of all valuable analytics framework to the DAAS platform
and automate some of the manual
processes that exist today.
•
To lead
a team of business/data analyst to plan and deploy the BI analytics roadmap for
MTN Uganda
•
Carry
out all regular and ad hoc data analytics activities to enable business to
obtain better insights
•
Carry
out insightful analytics around customer segment movements, product lifecycle,
usage and revenue, etc
•
Monitor
accuracy and efficiency of all analytical activities carried out by the team of
analysts
Qualifications, Skills and Experience:
•
The
ideal candidate for the MTN Uganda Manager Planning & Analytics
-Business Intelligence Division job placement should hold a Bachelor’s degree
in any business-related course such as
Statistics, Economics, Commerce
•
Postgraduate
studies in management, analytics and business intelligence is an added advantage
•
Five years’
experience in business BI & analytics in telecom
•
Have
prior experience in customer segmentation
and behavioral analytics
•
Have prior
experience in building or being a part
of a team that was responsible for predictive/prescriptive data models
•
Knowledge
of data warehousing and BI technologies
•
Ability
to drive cross functional projects
•
Expertise
in RCA for telecom businesses and
products
•
Advanced
data modelling
•
Knowledge
in SQL/Microsoft/SAS/Power BI and other advanced analytics tools
•
Knowledge
and expertise in Telecom business analysis and reporting
•
Data
analytics & Reporting experience
•
Experience
is customer segmentation and customer value management
•
Experience
in exploratory, heuristic, prescriptive and predictive analytics
•
Experience
in statistical data modelling
•
Experience
in financial reporting
•
Experience
in Telecom product development
•
Experience
in data governance from revenue assurance stand point
•
Good
Interpersonal skills and Initiative
•
Ability
to drive cross functional projects
•
Able to
work under pressure
•
Good
Communication and presentation Skills
•
Time
management
NB: Please
note that presentation of false academic documents and certification will lead
to criminal prosecution.
How to Apply:
All suitably
qualified and interested candidates should email their Job Applications with
detailed CVs, certified copies of academic certificates (originals are to be
presented at the interview) to ugrecruitment.UG@mtn.com. Please use this
format in the Subject Line i.e. Manager Planning & Analytics -Surname First
Name-current Dept.
Deadline: 1st May 2019
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