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