Telecom Data Analyst
Role summary
We are looking for a detail-oriented Telco Data Analyst to join our team. This role involves analyzing telecom business operations using data from various sources like billing, CRM, and network systems. You will be responsible for identifying trends, improving efficiency, and providing actionable insights to support business decisions. Key responsibilities include data analysis, reporting on KPIs such as ARPU and churn, creating dashboards, and analyzing customer behavior and network performance. You will also manage data quality, automate reports, and work with SQL, Excel, and BI tools. Familiarity with Python/R and telecom systems is beneficial.
Role Summary
We are seeking a detail-oriented and analytical Telco Data Analyst to support telecom business operations through data analysis, reporting, and insights. The ideal candidate will work closely with business, network, operations, and finance teams to analyze subscriber, network, usage, and revenue data. This role is responsible for identifying trends, improving operational efficiency, supporting business decisions, and delivering actionable insights across telecom functions.
Key Responsibilities
Data Analysis & Reporting
- Collect, validate, and analyze large telecom datasets from multiple sources including billing, CRM, network, usage, and customer systems.
- Prepare daily, weekly, and monthly reports on subscriber growth, churn, ARPU, revenue, usage, and network performance.
- Monitor telecom KPIs and identify trends, anomalies, and business risks.
- Create dashboards and visualizations for business and technical stakeholders.
- Analyze customer behavior, usage patterns, recharge trends, and service adoption.
- Support data-driven decisions related to customer retention, revenue growth, and network optimization.
Telecom Business Analysis
- Analyze prepaid and postpaid subscriber data, recharge activity, churn, and customer segmentation.
- Evaluate campaign performance, product adoption, and telecom service utilization.
- Perform analysis on voice, SMS, data usage, roaming, and value-added services.
- Provide insights into customer lifecycle, revenue leakage, fraud indicators, and business performance.
- Work with telecom operations teams to identify service issues and recommend improvements.
Network & Operational Analytics
- Analyze network performance metrics including traffic, utilization, call drops, latency, and quality of service.
- Support network planning and optimization teams with data-driven recommendations.
- Review telecom operational data to identify outages, performance degradation, and capacity issues.
- Coordinate with network, IT, and business teams to ensure data accuracy and consistency.
Data Management & Automation
- Extract and transform data using SQL, Excel, Python, or BI tools.
- Develop and maintain automated reports and dashboards.
- Ensure data quality, integrity, and consistency across telecom systems.
- Document data sources, business rules, and reporting logic.
- Support migration, integration, and enhancement of telecom reporting platforms.
Required Skills & Experience
- 3–7 years of experience as a Data Analyst, Business Analyst, or Telecom Analyst in the telecom industry.
- Strong understanding of telecom business processes, subscriber lifecycle, billing, and usage data.
- Hands-on experience with SQL for querying and analyzing large datasets.
- Advanced knowledge of Microsoft Excel including Pivot Tables, VLOOKUP/XLOOKUP, formulas, and data analysis.
- Experience with BI and visualization tools such as Power BI, Tableau, or Qlik.
- Working knowledge of Python, R, or similar tools for data analysis is preferred.
- Understanding of telecom KPIs such as ARPU, churn, MOU, subscriber growth, retention, and usage trends.
- Familiarity with telecom systems such as CRM, billing, mediation, OSS/BSS, and network monitoring platforms.
- Strong analytical, problem-solving, and communication skills.
- Ability to work with both technical and non-technical stakeholders.
