HR Employee Data Analyst

Role overview

This opportunity is shared on behalf of a partner employer, which will handle applications and the next stages of selection. The company is seeking a Human Resources Employee Data Analyst located in the United States.

The role is central to HR operations and focuses on keeping employee information accurate, consistent, and well maintained across multiple systems. You will support internal HR teams by updating personnel records, reviewing system changes, and helping resolve questions tied to pay, benefits, and employment data. The work blends careful analysis with fast operational follow-through, so strong attention to detail and a structured approach to problem-solving are essential. You will work across HRIS tools to complete updates, audit records, and spot trends or mismatches that affect workforce data. Cross-functional collaboration is a key part of the job, as you will work with several stakeholders on process improvements, system enhancements, and organizational projects. This is a highly detail-focused position in a busy HR setting where data quality directly affects employee experience and business decisions. Success in the role depends on accuracy, accountability, and the ability to balance multiple priorities.

Key responsibilities

• Handle employee data updates in HRIS platforms while maintaining accuracy and compliance with internal procedures.
• Support Tier 2 HR questions involving personnel files, transfers, compensation, benefits, and general employee data concerns.
• Review HR system changes on a recurring basis to uncover errors, patterns, and opportunities for improvement.
• Log, monitor, and close employee data cases through case management systems, escalating complex matters when needed.
• Partner with HR stakeholders on system needs, workflow design, and HR projects such as mergers, union agreements, and training updates.
• Contribute to ongoing improvement by evaluating HR data workflows and suggesting process enhancements.
• Deliver timely, accurate resolution of employee issues while protecting confidentiality and preserving data integrity.

Requirements

• Vocational training, some college coursework, or equivalent HR experience; an associate degree is preferred.
• At least 3 years of experience in HR operations, HRIS administration, onboarding, benefits, compensation, or employee data management.
• Solid knowledge of HR processes and employee lifecycle data handling.
• Hands-on experience with HRIS and case management systems.
• Strong accuracy, analytical thinking, and problem-solving ability.
• Ability to juggle several priorities in a structured, deadline-focused environment.
• Clear communication skills and the ability to support employees and HR partners effectively.

Benefits and compensation

• Hourly pay range of USD 28.41 to USD 40.89, depending on experience, education, and qualifications.
• Medical, dental, and retirement coverage.
• Paid time off and employee assistance support.
• Tuition assistance plus opportunities for professional growth.
• A supportive workplace that values well-being and work-life balance.
• Career development opportunities in HR operations and workforce analytics.
• An inclusive culture built on respect, collaboration, and belonging.

Application and privacy information

Applications are reviewed through an AI-assisted matching process to help identify candidates whose background best fits the role. Shortlisted profiles are then sent to the hiring employer, whose internal team manages interviews, assessments, and final decisions.

By applying, you consent to your personal data being used to evaluate your candidacy and shared with the employer as needed for recruitment purposes, in line with applicable data protection laws such as GDPR. You may request access, correction, deletion, or objection to processing at any time.

AI tools may be used to support parts of the recruitment workflow, such as reviewing applications, analyzing resumes, or checking responses for inconsistencies or verification signals. These tools assist the hiring team but do not replace human judgment, and final decisions are always made by people.