HR Data Analyst: Predictive Insights & Reporting

Remote Jobs; Wilmington (DE); In loco; USD 70.000 - 111.000; Tempo pieno

Vantaggi offerti da questo lavoro

Full Medical, Dental, Vision, Life

403(b) retirement plan with company 2x

Generous paid time off with roll-over

Paid parental leave

Tuition assistance

Descrizione del lavoro

ChristianaCare in Delaware seeks a Data Analyst for Human Resources, focusing on data collection, reporting, and predictive analytics to support hiring, engagement, and workforce optimization. You will build robust data models and leverage cross-functional data to drive strategic decisions.

Responsibilities include designing dashboards, producing HR analytics, and advising leadership on data-driven approaches to recruitment and retention.

Competenze

• Bachelor's degree required; a degree in a quantitative field preferred (Computing and Information Theory, Business with quantitative focus, Statistics, Applied Mathematics, Econometrics, Biostatistics, or Operations Research)
• 5 years of professional experience with a heavy emphasis on data and analytics, preferably in HR
• 2 years of Workday report writing experience.

Mansioni

• Design, collect, and analyze multiple levels of employee and organizational data
• Develop and maintain scorecards for HR and organizational use including analysis of human capital metrics and predictive indicators
• Provide ad-hoc data analyses to support engagement and retention goals and create new strategies

Conoscenze

SQL

Workday

Data analysis

HR analytics

Microsoft Excel

Reporting

Formazione

Bachelor's degree in a quantitative field

Strumenti

Workday

Descrizione del lavoro

ChristianaCare in Delaware seeks a Data Analyst for Human Resources, focusing on data collection, reporting, and predictive analytics to support hiring, engagement, and workforce optimization. You will build robust data models and leverage cross-functional data to drive strategic decisions.

Responsibilities include designing dashboards, producing HR analytics, and advising leadership on data-driven approaches to recruitment and retention.