Note: The job is a remote job and is open to candidates in USA. Oracle is a company providing cloud solutions, applications, infrastructure, and AI-enabled products and services. The Principal HR Data Analyst partners with HR and business leaders to analyze complex workforce data, develop forecasts and predictive insights, and deliver strategic recommendations supporting talent, compensation, hiring, attrition, and workforce cost decisions.
Responsibilities
- Partner with HR and business leadership to frame and solve complex workforce questions, designing and interpreting analyses across areas including compensation, hiring, offers, terminations, attrition, internal movement, talent, and workforce cost to support strategic business decisions
- Develop scenario models, forecasts, and advanced analyses that quantify the workforce and financial implications of talent decisions, including the impact of hiring and employee movement on salary, equity, and other workforce costs
- Gather, integrate, and synthesize HR data from multiple sources, transforming large and complex datasets into scalable analytical models, actionable business insights, and impactful data visualizations
- Serve as a subject matter expert on people data, analytical methodologies, tools, and resources; consult with stakeholders to determine the appropriate metrics, methods, and analytical approaches for answering complex workforce questions
- Apply advanced analytical and technical capabilities—including SQL, Python and/or R, statistical techniques, Oracle reporting and analytics tools, and advanced Excel—to identify trends, evaluate drivers, automate analyses, and develop predictive or forward-looking insights
- Explore and apply AI, machine learning, and emerging analytical techniques to improve the speed, scalability, and sophistication of HR analytics, while ensuring appropriate validation, governance, and responsible use of employee data
- Exercise sound judgment and ensure responsible handling, analysis, and release of sensitive employee data, adhering to applicable data governance, privacy, and security standards
- Work independently to prioritize multiple priorities and high-visibility requests in a fast-paced, agile environment, demonstrating strong ownership, analytical rigor, attention to detail, and accountability
- Develop a deep understanding of the business and proactively identify emerging workforce trends, risks, and analytical opportunities; consult with HRBPs and leaders to recommend data-driven approaches and solutions
- Synthesize complex analyses into clear business implications, scenarios, and recommendations, communicating effectively through executive-ready written narratives, presentations, and visualizations for both technical and non-technical audiences
Skills
- Applicants are required to read, write, and speak the following languages: English
- 6 to 10+ years of experience in people analytics, data science, business analytics, workforce planning, or a related analytical discipline
- Strong technical, analytical, and consultative skills
- Ability to independently translate ambiguous business questions into rigorous, scalable analytical solutions
- Experience with statistical modeling, forecasting, predictive analytics, or scenario analysis
- Experience analyzing compensation, workforce cost, hiring, attrition, or other workforce financial measures
- Experience with Oracle Fusion Cloud HCM, OTBI, BI Publisher, and/or Oracle Analytics Cloud
- Strong business acumen
- Ability to prioritize multiple priorities and high-visibility requests in a fast-paced, agile environment
- Ability to communicate effectively through executive-ready written narratives, presentations, and visualizations for both technical and non-technical audiences
- An advanced College or University degree in Data Science, Statistics, Data Management, Economics, Industrial/Organizational Psychology, or a related quantitative field
- 8+ years of experience in people analytics, data science, business analytics, workforce planning, or a related analytical discipline
- Experience applying AI, machine learning, or generative AI to analytical or business workflows
Benefits
- May be eligible for bonus and equity.
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
- 11 paid holidays
- Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
Company Overview