Compensation Analyst - Remote

Position: Compensation Analyst - Remote Location: Remote Department: Employment and Litigation Services (ELS) Experience Level: Mid-level (minimum 3 years of experience) Salary Range : $75,000- $90,000 About DCI: DCI Consulting Group is a leading Human Resources (HR) risk management and workforce analytics firm that helps organizations solve their most complex human resource challenges through a data-driven, research-based approach. Our experienced consultants partner with clients to address organizational needs holistically, utilizing best practices in human resources, industrial-organizational psychology, and labor economics to promote workplace equity and mitigate risk. Our Clients: DCI Consulting Group proudly serves a broad spectrum of clients across multiple sectors, including private sector employers, federal agencies and contractors, public sector organizations, non-profits, and national law firms. Top Client Initiatives DCI Supports: Employee selection procedure development and validation research, pay equity and other EEO analytics, compensation consulting, workplace compliance, nondiscrimination reporting, and litigation support as testifying and consulting experts. About the Job: DCI Consulting Group is seeking a Compensation Analyst to join our Employment & Litigation Support (ELS) Division. In this role, you will work alongside industry-leading experts in a fast-paced consulting environment to help organizations build equitable and competitive compensation programs that align with legal standards and business strategy. This position is ideal for mid-career compensation professionals with demonstrated consulting experience and a genuine desire to support clients across a variety of industries. Responsibilities: Conduct market benchmarking using survey data platforms and publicly available sources Assist in the design and assessment of job architecture, salary structures, and pay ranges Review job descriptions to align positions within leveling frameworks Gather, scrub, and organize compensation data, ensuring data quality and accuracy Analyze market trends and pay equity data to support client recommendations Support statistical analyses to inform compensation design decisions Help ensure compliance with compensation-related regulations (e.g., EEO, FLSA) Prepare clear, concise summaries and visuals for internal and client-facing presentations and reports Support compensation project management and cycle planning tasks Communicate proactively with clients and teammates on deliverables and project initiatives Required Skills and Qualifications: Bachelor's degree in HR, Business, or related field Minimum 3 years of experience in compensation, HR analytics, or related role Minimum 2 years of experience working in a consulting firm or professional services environment Understanding of compensation fundamentals (e.g., job evaluation, benchmarking, pay equity, and market pricing) Demonstrated proficiency benchmarking positions against public and private sector market data using both publicly available and privately held survey sources (e.g., Mercer, Willis Towers Watson, ERI, Salary.com) Advanced Excel skills (e.g., pivot tables, VLOOKUP/HLOOKUP/XLOOKUP, IF statements, INDEX/MATCH, SUMIFS/AVERAGEIFS/COUNTIFS, and data modeling), with demonstrated experience in data quality assurance (QA) Strong computer skills in MS Suite (e.g., Word, Access, PowerPoint, Outlook, 365, Teams) Strong attention to detail with the ability to manage multiple workstreams within tight deadlines Strong written and verbal communication skills, with a demonstrated ability to proactively engaged teammates and clients on deliverables and project initiatives. Familiarity with compensation-related regulations and compliance requirements, including EEO and FLSA Ability to thrive in a remote, fast-paced consulting environment as a member of a team and with significant autonomy, self-discipline, and organization skills Preferred Experience: Familiarity with statistical concepts or tools supporting compensation analysis (e.g., regression, distribution analysis) Familiarity with artificial intelligence in work products Familiarity with executive or sales compensation Total rewards knowledge, particularly benefits benchmarking Exposure to compensation work in multiple sectors, including nonprofit, private sector, public sector, and/or higher education settings