4–6 years of progressive experience in Total Rewards, compensation, and/or benefits analytics
Demonstrated experience building salary structures, conducting market benchmarking, and analyzing benefits plan data in an employer-side HR environment
Experience supporting a merit cycle, pay equity review, or compensation structure redesign from an analytical standpoint
Experience with HRIS platforms (Workday, SAP, UKG, or equivalent)
Advanced Excel proficiency
Knowledge with HRIS platforms and ability to extract, manipulate, and reconcile compensation and benefits data
Familiarity with compensation survey tools and platforms (Croner, Mercer, Radford/Aon, WTW, SHRM) and the ability to conduct job matching and extract benchmarking data independently
Working knowledge of compensation fundamentals: salary structure design, grade and range methodology, merit matrix construction, pay equity analysis, and incentive plan mechanics
Working knowledge of health and welfare benefits: self-insured vs. fully insured plan structures, stop-loss, claims analysis, ACA compliance, ERISA filings, and open enrollment administration
Ability to translate complex data into clear, actionable insights for non-technical audiences including HR leadership, Finance, and business managers
Strong project management and organizational skills; able to manage multiple analytical workstreams simultaneously across both compensation and benefits cycles
High attention to data accuracy and a personal commitment to work product quality
Experience with self-insured health plan data analysis and benefits cost modeling
Prior experience in telecommunications, cable, or similarly complex multi-state, multi-location organization
Bachelor's degree in Human Resources, Finance, Business Administration, Economics, or a related quantitative field