HR Operations Analyst; Temporary
Job in
City of White Plains, White Plains, Westchester County, New York, 10601, USA
Listed on 2026-01-12
Listing for:
Atlantic Group
Seasonal/Temporary
position Listed on 2026-01-12
Job specializations:
-
HR/Recruitment
-
Business
Job Description & How to Apply Below
Location: City of White Plains
Job Overview – HR Operations Analyst (Temporary):
Compensation: $24 – $27/hour
Location:
White Plains, NY
Schedule:
Monday to Friday (Hybrid)Our client is hiring an HR Operations Analyst (Temporary) in White Plains, NY (Hybrid) to support high-volume HR transactions, employee data processing, and workflow management across HRIS and CRM systems. This role is ideal for detail-oriented professionals with strong Excel skills and experience ensuring data accuracy and service-level compliance in a fast-paced HR operations environment.Responsibilities as the HR Operations Analyst:
- HR Transaction Management: Process high-volume employee data changes in HR systems, ensuring accuracy and compliance with service standards.
- Workflow Tracking: Monitor transactions using CRM tools and workflows, coordinating with employees, managers, and HR partners.
- Issue Resolution: Identify and resolve data issues, escalating to management as needed for timely correction.
- Auditing & Quality Control: Conduct audits to maintain accuracy and consistency of employee master data.
- Stakeholder Support: Collaborate with HR, IT, and business teams while maintaining strong customer service and confidentiality.
- Education: Bachelor’s degree in Human Resources, Business Administration, or a related field preferred.
- Experience:1-3 years in high-volume HR transactional processing, with preferred experience in HRIS platforms and employee data management.
- Technical Skills:Proficient in Microsoft Office Suite, with advanced Excel skills including sorting, formulas, data organization, and audit functions.
- Skills & Attributes:Detail-oriented and highly organized, with a service-focused mindset and the ability to manage confidential information while prioritizing tasks under defined SLAs.
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