Role & Responsibilities

• Gather, understand, and analyze detailed business requirements (Finance, Revenue Data) using appropriate tools and techniques.
• Identify trends, patterns, and anomalies from complex datasets to support fraud detection, revenue assurance, and business growth.
• Develop, verify, and monitor revenue-related data to ensure accuracy in product/service charges, promotions, and customer offerings.
• Conduct data mining, create reports/dashboards, and deliver statistically significant insights.
• Analyze Voice, IDD, and IR service calculations to prevent revenue loss and ensure compliance with company rates and conditions.
• Detect and investigate potential fraud or revenue leakage, identify root causes, and coordinate with relevant teams for resolution.
• Use BI tools (e.g., Tableau, Power BI) and SQL to analyze large datasets and communicate findings effectively.
• Support management strategies with risk assessment reports and data-driven recommendations.

Qualifications

• Bachelor’s degree in Business, Statistics, Computer Science, Engineering, or related fields.
• 2+ years of experience in data analysis, fraud detection, revenue assurance, or related functions.
• Proficiency in SQL, Microsoft Excel (Pivot Table, VLOOKUP), and PowerPoint.
• Hands-on experience with BI/data visualization tools (e.g., Tableau, Power BI).
• Strong analytical skills with attention to detail, accuracy, and statistical reasoning.
• Experience analyzing big data and collaborating with data scientists/engineers.
• Excellent communication and coordination skills to work with cross-functional teams.