At Easterseals PORT Health (ESPH), our mission is rooted in empowering individuals and strengthening communities. We are seeking a full-time Compensation Analyst to join our collaborative Human Resources team and help advance our commitment to fair, competitive, and mission‑aligned compensation practices. This is more than just a job — it’s an opportunity to create meaningful impact by supporting equitable pay, informed decision‑making, and workforce excellence across the organization. Voted Raleigh’s Best Nonprofit Organization and Raleigh’s Best Mental Health Services two years in a row! Your Role in Our Mission As the Compensation Analyst, you will support ESPH’s compensation strategy by developing and maintaining salary structures, conducting market analyses, and ensuring all job descriptions are accurate and compliant. You will partner with leaders across the agency to develop/update position descriptions, administer compensation programs, and provide data driven insights. In this role, you will also serve as the internal expert for the PayScale platform, lead compensation-related reporting in UKG, and collaborate with HR Compliance on FLSA classifications. Why Join Us? As part of our mission, we help our team members embrace their potential, build resilience, and thrive. You will have opportunities for ongoing growth while working alongside HR leaders committed to your success and development. This position follows a full-time, Monday through Friday schedule. To support onboarding and training, the selected candidate will be expected to work onsite at our headquarters five days per week initially. After approximately 90–120 days, the role will transition to a hybrid schedule of three days onsite and two days remote. Occasional travel to various worksites may be required. We offer a full benefits package for benefits‑eligible positions. What We’re Looking For To join our team as the Compensation Analyst, you should have strong analytical skills, a commitment to accuracy, and the ability to partner with leaders to support data‑driven compensation decisions.
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Job Type
Full-time
Career Level
Mid Level