Senior Analyst HR Data Analytics

Senior Analyst, HR Data Analytics

The Christ Hospital Health Network

The Christ Hospital Health Network, a leading Cincinnati-based healthcare system known for its commitment to excellence in patient care, seeks an accomplished Senior Analyst, HR Data Analytics to advance the organization’s capability to transform workforce data into predictive, evidence-based insights. The Senior Analyst plays a pivotal role in transforming HR data into actionable information that drives strategic decision-making. This individual contributor, hands-on role combines advanced analytics, HR technology, and data science techniques with a deep understanding of HR metrics and organizational behavior. The successful candidate will optimize data systems, ensure data integrity and accuracy, and provide leaders with meaningful analysis that influences talent, engagement, and performance outcomes.

Key Responsibilities

• Develop predictive analytics models and algorithms to identify workforce patterns and forecast outcomes such as turnover risk, performance trends, and engagement dynamics.
• Apply regression analysis and correlation modeling to uncover relationships between demographic, behavioral, and sentiment data.
• Design and implement self-correcting data quality control mechanisms to continuously verify, validate, and enhance data accuracy and integrity throughout the workflow.
• Leverage Agentic AI data analysis to automate data synthesis, aggregation, cleansing, validation, and verification processes, ensuring consistently high data quality and actionable insights to guide and inform leadership decision making.
• Build and maintain dashboards and data visualizations that translate complex analyses into executive level data reports.
• Partner with HR, IT, and business stakeholders to ensure data consistency, integrity, and proper governance across all systems and data sources.
• Create models that link workforce behaviors and outcomes (e.g., retention, productivity, engagement) to measurable business results.
• Stay current on emerging analytics technologies including machine learning, generative AI, and predictive modeling, and recommend opportunities to apply them within HR analytics.

Qualifications

Core Competencies