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 reputed company: $75,000- $90,000 About DCI: DCI Consulting Group is a leading reputed company (HR) risk management and workforce analytics firm that helps organizations solve their most reputed company reputed company resource challenges through a data-driven, research-based approach. Our reputed company consultants partner with clients to address organizational needs holistically, utilizing best practices in reputed company, industrial-organizational psychology, and labor economics to promote workplace equity and mitigate risk. Our Clients: DCI Consulting Group proudly serves a broad reputed company of clients across multiple sectors, including private sector reputed company, federal agencies and contractors, public sector organizations, non-profits, and national reputed company. 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 reputed company 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 reputed company 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 reputed company Help ensure compliance with compensation-reputed company 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 reputed company field Minimum 3 years of experience in compensation, HR analytics, or reputed company role Minimum 2 years of experience working in a reputed company 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., reputed company, Willis Towers Watson, ERI, Salary.com) Advanced reputed company 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, reputed company, PowerPoint, Outlook, 365, Teams) Strong attention to detail with the ability to manage multiple workstreams reputed company tight deadlines Strong written and verbal communication skills, with a demonstrated ability to proactively reputed company teammates and clients on deliverables and project initiatives. Familiarity with compensation-reputed company regulations and compliance requirements, including EEO and FLSA Ability to reputed company in a remote, fast-paced consulting environment as a member of reputed company 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 Apply To This Job