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

SmartExplore AI is experimental.

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Business Analyst (Information Technology Analyst 2)

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Brooksource

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Content Specialist

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Titusville, NJ 08560

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Vulnerability Management Analyst

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Systems Engineer: Radar System Design Level 2

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Lawrence Township, NJ 08648

OnsiteFlexible Schedule

Bachelor's degree or higher in Electrical Engineering, Systems Engineering, Computer Science/Engineering, Physics or related STEM degree with minimum 2 years' related experience.
Experience with C++ or equivalent object-oriented computing language, Matlab, and, scripting languages.
Demonstrated experience in two or more of the following areas: systems engineering, software and system analysis, requirements development, verification and validation, trade studies, modeling and simulation, or integration and test.
Ability to obtain and maintain a U.S. DoD security clearance at the SECRET level.
U.S. Citizenship required.

SmartExplore AI is experimental.