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AM Brand Niche

Industry:
Telecommunication/ISP
Division:
Sales & Marketing
Category:
Marketing
Total Position:
1
Job Type:
Full Time/Permanent
Department:
MARCOMS
Job Location:
Lahore
Gender:
Doesn't Matter
Minimum Education:
Bachelors
Degree Title:
BBA/BCS. MBA will be preferred
Career Level:
Experienced (Non-Manager)
Required Experience:
3 Years - 4 Years(3 to 4 years Telecom experience in commercial or finance related areas. Excellent Telecom market knowledge & understanding of market dynamics.)
Apply By:
Mar 30, 2012
Posted On:
Mar 21, 2012
Job Description

Objectives:

Provide support in logical decision making for marketing business unit

Ensure performance of team is met in line with set responsibilities & KPIs

Main Responsibilities:

Supervise regular visibility of segment wise MoU, calls, active & inactive subscriber base, revenue per call, per subscriber and per MoU for segments to take calculated decisions.

Develop quarterly business plans with segments, products and all stake holders and monitor that all commercial teams activities are aligned with companys budget.

Evaluate competitor pricing tactics of monitoring network traffic trends, off net and market share of net additions. Assist in suggesting tactical pricing to segments to meet and exceed revenue targets.

Monitor various traffic KPIs of industry to find opportunities of revenue enhancement in long run.

Lead the budgeting exercise from point of view of commercial KPIs (i.e. MoU, Calls revenue & 90 day active subs).

Assist in business planning and forecasting for commercial division.

Market share analysis and insight to asses strengths and weakness of Warid offers Vs competition.

Output/Deliverables:

Competitive pricing strategy for effective communication

Meeting the designated timelines with pricing projects

Presentation to commercial form regarding suggested industry trends & pricing.

Required Skills

Exceptional logical thinking

Creative problem solving

Exceptional Presentation skills

Superior Excel data modeling skills and experience working with
large amounts of data

Team oriented and strong leadership skills

Statistical modeling

Cultural sensitivity

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