LHH Recruitment Solutions is seeking a detail-oriented and experienced UKG HRIS Analyst in Toledo, OH area. In this role, you will manage and maintain HR data, processes, and metrics, perform data-related reporting, and support system and technology-related HR and diversity initiatives. The ideal candidate will be responsible for optimizing the UKG HRIS system, ensuring data integrity, and providing analytical support to the HR team.
Responsibilities:
Assist with HCM technology systems and tasks related to HR, diversity, and recruitment projects.
Generate and analyze reports to respond to internal data and audit requests.
Evaluate external data sources, such as compensation and insurance benchmarks, for internal application.
Collect and compile HR metrics from various sources, including HCM systems, payroll outputs, surveys, exit interviews, employment records, labor statistics, competitor practices, and more.
Enhance and develop HR data reporting practices to meet evolving needs.
Work with internal departments to optimize HR systems and their integration with other internal systems.
Improve workflow processes.
Provide backup support for routine payroll operations.
Collaborate with Diversity Counsel Members to assist with Mansfield reporting requirements.
Maintain and update job descriptions and conduct periodic classification audits to ensure proper job classification.
Train peers and new employees on system usage.
Qualifications:
Education: Bachelor's degree in a related field (e.g., human resources, computer science, data science, applied statistics).
Experience: Minimum of three years working with company data systems in an analytical role, including experience with the HCM system UKG.
Competency: Proficiency in effectively and accurately managing and utilizing HRIS data.
Analytical Skills: Strong analytical abilities with a solid understanding of problem-solving, root-cause analysis, and solution implementation.
Critical Thinking: Demonstrated ability to analyze large amounts of data, translate findings, draw conclusions, and make recommendations.
Attributes: Learning agility, discipline, flexibility, self-starting, forward-thinking, and the ability to manage multiple priorities effectively.