Risk Analytics - Telecom and Data Analytics - Manager

Risk Analytics - Telecom and Data Analytics - Manager

Location: Gurgaon, India

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)

• 8–15+ 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

• EY | Building a better working world

• EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

• Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

• EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.