What you’ll be doing:

• Execute and maintain revenue assurance controls across sales, provisioning, billing, payments, and inventory systems
• Perform key reconciliations (Billing vs Provisioning, Sales vs Installation vs Billing, Payments, Inventory) to identify inconsistencies and leakages
• Develop and optimize SQL queries and Python scripts to automate recurring checks and improve efficiency
• Analyze large datasets to detect anomalies, quantify revenue impact, and support root cause investigations
• Build automated reports and dashboards to monitor key revenue assurance metrics
• Drive process improvements and reduce manual effort through automation

What we’re looking for:

• Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics, Finance, Engineering, etc.)
• Strong technical skills in SQL, Python (Pandas), and Excel
• Experience working with large datasets, data reconciliation, or anomaly detection
• 2+ years’ experience in data analytics, revenue assurance, or a related role
• Experience in telecom, subscription businesses, or fintech is a plus