Enterprise Value Management Zain

About the Role
The Enterprise Value Management Specialist is responsible for developing and executing customer value strategies focused on retention, upsell, and churn reduction across enterprise telecom services. The role involves analyzing customer data, designing lifecycle campaigns, and optimizing key KPIs such as ARPU, churn, and CLTV. Collaboration with Sales, Product, and Marketing is essential, along with proficiency in BI tools, campaign platforms, and telecom analytics.
Responsibilities:
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Data Analysis: Perform advanced data analysis to identify customer behavior patterns, revenue opportunities, and market trends.
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Customer Value Management (CVM): Support the development and execution of CVM strategies to enhance customer lifetime value and retention.
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Revenue Optimization: Use statistical methodologies to analyze and identify new revenue streams and growth opportunities.
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Advanced Analytics: Apply predictive modeling, segmentation, and data visualization techniques to derive actionable business insights.
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Campaign Effectiveness: Evaluate marketing campaigns' performance and provide data-backed recommendations for improvement.
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Stakeholder Collaboration: Work closely with cross-functional teams to present insights and contribute to data-driven decision-making.
What We Need From You
To be considered for the position, you will need to meet with all of the below requirements:
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3 5 years experience in CVM/CRM or analytics in telecom B2B
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Bachelor s in Business, Analytics, or Engineering (Master s preferred)..
Skills:
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Strong skills in data analysis (Tableau, SQL, Power BI, Python), segmentation, and campaign design.
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Knowledge of ETL processes and familiarity with cloud platforms such as AWS, GCP, or Azure is an advantage.
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Knowledge of telecom services (mobile, IoT, cloud).
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Proficiency in statistical techniques (e.g., regression analysis, clustering, forecasting).
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Experience with tools like Salesforce, SAS, or similar platforms.
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Experience in predictive modeling and customer segmentation.
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Understanding of database marketing, campaign analytics, and CRM tools.
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Familiarity with telecom or B2B customer lifecycle and market dynamics is highly preferred.
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Detail-oriented and organized, with the ability to manage multiple priorities effectively.