Telecom Data Analytics Manager

Risk Analytics - Telecom and Data Analytics - Manager

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 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

 

Experience Level

Mid Level