Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer and metro location increase competition, but niche Total Rewards digital specialization limits applicant density.
Role requires deep Total Rewards and compensation domain expertise, limiting cross-industry transfer despite analytics skills.
Explicit 5–8 years requirement plus mandatory Total Rewards and HR analytics/domain expertise enforces strict shortlisting.
Support execution of compensation processes including benchmarking and annual cycles with data accuracy and decision-making insights.
Own maintenance, updates, testing, and deployment of Total Rewards digital tools, automation, and HR technology enhancements.
Use generative AI and analytics to improve workflows, drive adoption of digital solutions, conduct training, and continuously improve Total Rewards processes.
Bachelor's degree in Human Resources, Business, Finance, Data Analytics, or related field.
5–8 years of experience in Total Rewards, Compensation, or HR Analytics.
Strong analytical skills with experience in Excel, Power BI, or similar data tools.
Experience working with compensation platforms or HR systems.
Has hands-on experience with compensation benchmarking and working with Total Rewards vendors like Mercer, WTW, Aon, or Radford.
Demonstrates ability to operate across compensation, analytics, and technology with a digital-first approach.
Experienced in applying generative AI and automation within HR or Total Rewards digital environments to enable process improvement and scalability.