• Develop and maintain custom reports in Oracle HCM using SQL to support HR operations and analytics. • Write advanced SQL queries to extract and transform HR data from Oracle tables. • Analyze HR datasets for workforce insights (headcount, attrition, recruiting, talent & succession planning, engagement, team performance). • Ensure accuracy and consistency of HR data across systems. • Perform advanced analytics and modeling in Databricks using Python and SQL. • Leverage Databricks notebooks for data exploration, transformation, and machine learning. • Publish curated datasets from Databricks to BI tools (Power BI) for HR scorecards and executive reporting. • Apply Python and statistical techniques for predictive modeling (e.g., attrition forecasting, workforce planning). • Use Databricks ML and Delta Lake for scalable analytics. • Identify trends and deliver actionable insights to HR leadership. • Partner with HR leaders to translate business questions into data requirements. • Work closely with Data Engineering and Platform teams to ensure HR data is clean, standardized, and accessible. • Document processes and create user-friendly guides for HR stakeholders. • Understand and apply PII masking and compliance requirements for HR data. • Ensure adherence to privacy regulations (GDPR, CCPA) and internal security standards.