We are looking for a talented Data Analyst with a focus on Subscriber and Churn Analytics to join our team in Islamabad. This full-time position offers a hybrid work model, providing flexibility while allowing you to collaborate closely with various departments. The role centers on transforming subscriber data into meaningful insights that support strategic decision-making across Operations, Finance, and Customer Care. The ideal candidate will have a strong passion for data and analytics, with the ability to deliver impactful business intelligence that drives organizational success.
Key Responsibilities
- Extract, clean, validate, and analyze subscriber data sourced from OSS/BSS systems to ensure data integrity.
- Conduct audits on churn rates, service-level changes, and subscriber lifecycle data to maintain accuracy and reliability.
- Detect and resolve data discrepancies by working collaboratively with cross-functional teams.
- Develop and maintain automated reports and dashboards using business intelligence tools to streamline reporting processes.
- Partner with reporting teams to enhance data accuracy and improve operational efficiency.
- Prepare and present data-driven insights to senior management to facilitate informed decision-making.
- Support process improvements related to data governance and reporting standards to uphold data quality.
Required Qualifications
- Bachelor’s degree in Data Analytics, Information Systems, Business, or a related discipline.
- At least 2 years of experience in data analysis, reporting, or business intelligence roles.
- Proficiency in SQL and advanced Excel skills for data manipulation and analysis.
- Practical experience with BI tools such as Power BI or Tableau to create visualizations and reports.
- Familiarity with data automation and scripting languages like Python or R is preferred.
- Strong analytical thinking and problem-solving skills combined with effective communication abilities.
Preferred Qualifications and Benefits
- Previous experience in telecom or subscription-based industries is highly desirable.
- Deep understanding of churn analysis and subscriber lifecycle management concepts.
- Exposure to OSS/BSS systems will be considered a strong advantage.
- The hybrid working model supports a healthy work-life balance.
- Competitive salary package with opportunities for career advancement.
- Work within a collaborative, performance-driven, and data-focused organizational culture.
This role demands a detail-oriented and proactive professional who can consistently deliver high-quality insights that influence key business strategies. If you are motivated to apply your expertise in a dynamic and evolving environment, this opportunity is well-suited for you.