Website Avanceservices

Data Analyst (Telecom Domain)

This role is a specialised analytical position centred on the fast-paced Telecommunications industry. Unlike general data roles, a Telecom Data Analyst must navigate unique datasets such as Call Detail Records (CDRs), network traffic logs, and subscriber churn patterns. You will be the primary bridge between complex network data and commercial strategy, helping the organisation optimise its infrastructure and retain its customer base.

🟢 Role Overview & Impact

As a Telecom Data Analyst, you are responsible for making sense of the massive data volumes generated by millions of subscribers and network nodes.

  • Subscriber Intelligence: Analyse usage patterns to predict and prevent Churn (customers leaving the network) and identify high-value segments for upsell opportunities.

  • Network Optimisation: Use data to pinpoint coverage gaps, congestion points, and hardware inefficiencies to improve the Quality of Service (QoS).

  • Stakeholder Orchestration: Act as a translator between technical network engineers and business marketing teams to ensure data requirements are met.

  • Revenue Assurance: Identify anomalies in billing data or traffic patterns that could indicate fraud or revenue leakage.

  • Strategic Reporting: Transform raw network metrics into executive-level dashboards that track KPIs like ARPU(Average Revenue Per User) and MOU (Minutes of Usage).

📊 Compensation & Market Benchmarks (2026)

Based on 2026 data for Telecom Analytics roles in India:

Metric Details
Average CTC ₹9 LPA – ₹17 LPA (Higher for candidates with SQL/Python expertise).
Growth Potential Transition into Telecom Consultant, Network Strategist, or Growth Manager.
Domain Premium Specialised knowledge of OSS/BSS systems and Telecom protocols adds a 20% premium to base pay.
Location Major hubs include Pune, Gurgaon, and Bangalore (HQ locations for major telcos).

🎯 Required Skills & Expertise

  • The Foundation: Mastery of SQL for querying massive databases and Advanced Excel for quick modelling.

  • Domain Knowledge: Solid understanding of Telecom concepts (Roaming, Interconnect, Prepaid/Postpaid cycles,5G traffic patterns).

  • Soft Skills: Exceptional Stakeholder Management—the ability to influence decision-makers with data-backed recommendations.

  • Visualisation: Proficiency with tools such as Tableau, Power BI, or Looker to present insights effectively.

  • Critical Thinking: The ability to look at a drop in network traffic and determine if it’s a technical failure or a behavioural shift.

Upload your CV/resume or any other relevant file. Max. file size: 2 GB.