HRIS Analyst Hybrid

RemX is partnering with a growing organization in the Scranton area to identify a detail-oriented HRIS Analyst. This is an excellent opportunity for someone with HR systems experience who enjoys data analysis, reporting, process improvement, and working cross-functionally with HR, Payroll, and IT teams.

Location: Scranton, PA
Schedule: Hybrid work arrangement after training | Monday-Friday | Normal Business Hours
Pay: $28.00-$32.00/hour
Job Type: Temp-to-Hire

What You'll Do

• Support and maintain HR technology systems and related processes
• Generate and analyze HR metrics, reports, dashboards, and workforce data
• Ensure the accuracy and integrity of employee data through audits and validation efforts
• Assist with system updates, testing, troubleshooting, and implementation projects
• Document processes and recommend improvements to increase efficiency and effectiveness
• Manage data imports, exports, and system integrations
• Provide user support, training, and guidance on HR systems functionality
• Collaborate with internal stakeholders to resolve system issues and improve reporting capabilities
• Assist with security access administration and user permissions
• Support HR operations across areas such as recruiting, onboarding, timekeeping, payroll, benefits, and performance management
• Participate in special projects and additional duties as needed

What We're Looking For

• 2+ years of experience supporting HRIS, payroll, timekeeping, benefits administration, or related HR systems
• Bachelor's degree in Human Resources, Information Systems, Business, Analytics, or a related field preferred
• Experience working with HRIS platforms and reporting tools; ADP experience is a plus
• Advanced Excel skills, including data analysis, reporting, formulas, and dashboard creation
• Experience with system testing, troubleshooting, process documentation, and project support
• Strong analytical and problem-solving abilities
• Excellent communication skills with the ability to interact effectively across all levels of an organization
• High attention to detail with a commitment to data accuracy and confidentiality
• Experience in manufacturing, distribution, logistics, or multi-site environments is a plus