Job Description

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.

Job Tags

Similar Jobs