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:
- Revenue leakage detection
- Fraud analytics
- Data quality monitoring

- Integrate Python solutions with existing data platforms and workflows
- Promote AI/ML-based use cases (predictive analytics,



anomaly detection)

Team Management & Delivery
- Lead and mentor a team of data analysts and automation engineers
- Define roadmap for analytics maturity and automation adoption
- Ensure timely delivery of analytics solutions and business insights
- Conduct trainings on SQL, Power BI, and Python for team capability building
- Collaborate with cross-functional teams (IT, Finance, Operations)

Stakeholder & Strategic Engagement
- Work with senior leadership to translate business needs into analytics solutions
- Present insights and recommendations to stakeholders
- Drive data-driven culture within telecom operations
- Support transformation initiatives and digital modernization programs

Required Skills & Qualifications
- Domain Expertise (Mandatory)
- 8-15+ years in Telecom / Data Analytics / Revenue Assurance / Fraud Management
- Strong understanding of:
- Telecom billing systems
- Mediation and usage data flows
- Telecom KPIs and metrics

Technical Skills (Mandatory)
- SQL (Advanced) data extraction, joins, optimization
- Power BI (Advanced) dashboards, DAX, data modeling
- Python (Intermediate/Advanced) automation, data processing

Preferred Skills
- Data Analytics and Data Warehousing concepts
- Python based automation and ETL Operations
- Visualization and reporting experience using Power BI/Tableau/Splunk dashboards.
- Knowledge of Machine Learning concepts (nice to have)
- Alteryx

Key Deliverables / Success Metrics
- Reduction in revenue leakage and fraud exposure
- Increased automation coverage across telecom processes
- Dashboard adoption and data-driven decision making
- Improved operational efficiency and turnaround time
- Team capability uplift and skill development

Leadership Competencies
- Strong analytical thinking and problem-solving skills
- Excellent stakeholder management and communication
- Ability to translate business problems into technical solutions
- Strategic thinking with execution focus
- Team leadership and mentoring capability

📌 Risk Analytics - Telecom and Data Analytics - Manager (Gurugram)
🏢 EY
📍 Gurugram