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Telecom & Data Analytics - Manager
Role Overview
We are seeking an experienced Data Analytics Manager with Telecom domain expertise to lead analytics-driven decision-making, automation initiatives, and revenue optimization strategies. The role combines deep telecom business understanding with robust technical expertise in SQL, Power BI, and Python-based automation.

The candidate will drive data-led transformation across billing, revenue assurance, fraud detection, and operational efficiency, while managing a team of analysts and automation engineers.

Key Responsibilities
Telecom Domain Leadership
- Lead analytics initiatives across Revenue Assurance, Billing, Fraud Management, and Leakage Detection
- Identify revenue leakages, billing gaps, and operational inefficiencies using data insights




- Partner with business stakeholders to define KPIs and performance dashboards
- Drive process optimization and automation opportunities across telecom operations
- Ensure alignment with telecom regulatory, billing, and audit requirements
- Provide domain consulting support for BSS/OSS, mediation, interconnect (operator to operator billing) and billing systems

Data Analytics & Visualization (Power BI, SQL)
- Design and deliver interactive Power BI dashboards for executive and operational reporting
- Develop complex SQL queries and data models for telecom datasets
- Perform data validation, reconciliation, and root cause analysis
- Enable self-service analytics capabilities across business teams
- Standardize reporting frameworks and ensure data governance best practices

Automation & Advanced Analytics (Python)
- Drive end-to-end automation use cases using Python (ETL, reconciliation, anomaly detection)
- Build scalable automation frameworks for:

📌 Risk Analytics (Noida)
🏢 EY
📍 Noida