Senior HR Data Analyst - Workforce Planning

Oracle Corporation; Nashville (TN); On-site; USD 90,000 - 120,000; Full time

Job summary

Oracle in Nashville seeks a Senior HR Data Analyst to transform workforce and financial data into actionable insights for HR leadership and business units. You will partner with HRBPs, Finance, and Operations to analyze headcount, attrition, compensation, and cost drivers, reconcile data, and build forecasts and scenarios that inform workforce investments and strategic decisions.

This role requires strong analytical skills, attention to detail, and the ability to influence stakeholders with

Qualifications

• Strong analytical, financial, and consultative skills.
• Attention to detail and accuracy in data.
• Ability to investigate discrepancies and resolve data issues.

Responsibilities

• Partner with HRBPs, Finance, and business leaders to provide trusted data and analysis across compensation, hiring, attrition, and workforce cost drivers.
• Reconcile complex data and develop workforce forecasts and scenarios.
• Translate findings into clear business implications to inform workforce investments.

Job description

The Senior HR Data Analyst leverages workforce and financial data to provide actionable insights to HR leadership and business teams, with a particular focus on headcount and workforce planning. This role is deeply collaborative, partnering with HRBPs, Finance, Business Operations, and business leaders to provide trusted data and analysis across compensation, hiring, attrition, and other workforce cost drivers.

By reconciling complex data, developing workforce forecasts and scenarios, identifying the drivers behind cost and headcount variances, and translating those findings into clear business implications, the Senior HR Data Analyst helps leaders better understand and actively manage workforce investment. Success in this role requires strong analytical, financial, and consultative skills; exceptional attention to detail; and the ability to independently investigate discrepancies, solve ambiguous data issues, and partner across functions to drive issues to resolution.