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Data Driven Insights Professional

3 weeks ago

Kuwait City, Al Asimah beBee Careers Full time

Pursue a Career in Business Intelligence

About the Role

The Enterprise Value Management Analyst role involves leveraging data analysis and statistical methodologies to drive business growth. This position requires an experienced data analyst with expertise in customer value management and revenue optimization.

Key Responsibilities:

  1. Data Analysis: Identify customer behavior patterns, revenue opportunities, and market trends through advanced data analysis.
  2. Customer Value Management (CVM): Develop and execute CVM strategies to enhance customer retention and increase lifetime value.
  3. Revenue Optimization: Analyze and identify new revenue streams and growth opportunities using statistical methodologies.
  4. Advanced Analytics: Apply predictive modeling, segmentation, and data visualization techniques to derive actionable business insights.
  5. Campaign Effectiveness: Evaluate marketing campaigns' performance and provide data-backed recommendations for improvement.
  6. Stakeholder Collaboration: Work closely with cross-functional teams to present insights and contribute to data-driven decision-making.
Requirements

To be successful in this role, you will need:

  1. 3–5 years of experience as a data analyst, preferably in telecom or B2B industries.
  2. Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. A Master's degree is a plus.

Key Skills:

  1. Proficiency in Python, R, and SAS for statistical modeling and data analysis.
  2. Strong SQL skills for querying and manipulating large datasets.
  3. Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  4. Knowledge of ETL processes and familiarity with cloud platforms such as AWS, GCP, or Azure is an advantage.
  5. Proficiency in statistical techniques (e.g., regression analysis, clustering, forecasting).
  6. Experience in predictive modeling and customer segmentation.
  7. Understanding of database marketing, campaign analytics, and CRM tools.
  8. Familiarity with telecom or B2B customer lifecycle and market dynamics is highly preferred.
  9. Strong problem-solving and critical-thinking abilities.
  10. Excellent communication skills to present complex data insights in a clear and concise manner.
  11. Detail-oriented and organized, with the ability to manage multiple priorities effectively.