Ryder - Raleigh, NC
posted 2 months ago
The HR Data Analyst will play a crucial role in collecting, organizing, interpreting, and summarizing human resource data to provide actionable insights that assist HR in decision-making, policy formulation, workforce planning, and other HR functions. This position is designed for a remote work environment, allowing the analyst to operate from home while contributing to the HR team's objectives. The analyst will be responsible for regular reporting, utilizing tools such as Excel and Workday, and will devise methods for identifying data patterns and trends from various information sources. Additionally, the role involves providing project support on various HR initiatives, ensuring that data-driven solutions are effectively implemented. In this role, the HR Data Analyst will support reporting needs across all HR functions, which includes configuring new reports, troubleshooting existing reports, and advising on potential reporting solutions available within Workday. The analyst will also engage in the HR data lifecycle, which encompasses data extraction from multiple sources, preparing data for analysis through file merging and data cleaning, and creating metrics and analytics to inform future HR activities. Reporting will be conducted through data visualization techniques, such as charts and graphs, as well as through advanced statistical analyses when necessary. The analyst will maintain and update files, including weekly, monthly, and quarterly reports, ensuring that all data is accurate and up-to-date. Collaboration with HR stakeholders is a key aspect of this position. The analyst will consult with these stakeholders to identify recommendations and feedback for HR policies and initiatives based on data, metrics, and analytics. Ongoing support for HR projects and initiatives will also be part of the role, which includes schedule planning, task tracking, and communication with team members or key operatives. The analyst will meet with HR stakeholders to understand business requirements and generate data-driven solutions that align with the organization's goals.