Business Performance and Analytics Manager at Azam Media - March 2025

JOB TITLE: Business Performance and Analytics Manager 

Job Overview

The Business Performance and Analytics Manager will be responsible for analysing business trends, leveraging data to provide actionable recommendations, and enhancing customer experience through data-driven decision-making. This role requires expertise in customer value management (CVM), customer behaviour analysis, and revenue growth strategies.

The ideal candidate should have strong communication skills to present insights to different teams and senior management, enabling them to make informed business decisions.

Key Responsibilities

✅ Develop and implement Customer Value Management (CVM) strategies to enhance customer engagement and value.
✅ Analyze customer behavior and build predictive models for churn management and customer retention.
✅ Design and implement Customer Experience Management programs to boost loyalty and satisfaction.
✅ Review and analyze key business performance data and provide regular reports to senior management.
✅ Generate daily reports on campaign performance and overall business trends.
✅ Identify key business performance indicators (KPIs) and suggest data-driven improvements.
✅ Develop product recommendation models to enhance sales and increase customer retention.

Analytics & Model Development

Build customer behaviour profiles and prediction models for churn analysis.
Conduct customer satisfaction analysis and suggest improvements based on data insights.
Develop revenue stimulation, retention, and customer loyalty strategies.
Implement predictive analytics models to support decision-making and optimise business operations.
Create and present business performance reports based on statistical analysis.

Required Skills & Competencies

🔹 Strong problem-solving skills and the ability to identify business opportunities using data.
🔹 Excellent communication and presentation skills to convey insights to non-technical stakeholders.
🔹 Expertise in data analysis, statistical techniques, and handling large datasets.
🔹 Experience in predictive modeling, data mining, and machine learning is an added advantage.
🔹 Strong business acumen with the ability to analyze, interpret, and present complex data effectively.

Qualifications

Bachelor’s degree in statistics, economics, data science, actuarial sciences, mathematics, or a related field.
Proficiency in SQL and Python for data analysis and model development.
Experience with data visualisation tools such as Power BI, Tableau, or similar platforms.
Strong analytical mindset with the ability to extract meaningful insights from large datasets.
Experience in predictive modelling, data mining, and statistical analysis is a plus.

If you are passionate about data-driven business growth and have the required skills, we would love to hear from you.