Opening with EY_ Revenue Assurance with Telecom Analyst

EY; Pune District, Gurugram District, Bengaluru; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

EY is seeking an experienced Data Analytics Manager with Telecom domain expertise to lead analytics-driven decision-making, automation initiatives, and revenue optimization strategies. The role requires deep telecom business understanding with 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.

Qualifications

• Experience leading telecom analytics initiatives.
• Strong knowledge of telecom billing systems and revenue leakage detection.
• Proven ability to define KPIs and build dashboards for executive use.
• Familiarity with data governance and analytics maturity frameworks.
• Leadership experience in managing analysts and automation engineers.

Responsibilities

• Lead analytics initiatives across Revenue Assurance, Billing, Fraud Management, and Leakage Detection.
• Define KPIs with stakeholders and build executive dashboards.
• Drive automation opportunities using Python and ETL techniques.
• Mentor a team of analysts and automation engineers for capability building.
• Partner with IT, Finance, and Operations to deliver analytics solutions.

Skills

Domain Expertise

Telecom Analytics

Revenue Assurance

Fraud Management

Leadership

SQL

Power BI

Python

Data Modeling

Tools

Power BI

Python

Tableau

Job description

Role & responsibilities

elecom & 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 strong 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)


• 815+ years in Telecom / Data Analytics / Revenue Assurance / Fraud Management


• Strong understanding of:


• Telecom billing systems


• Revenue leakage detection


• 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

Experience with:

• 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 or Power Automate (nice to have)

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