Remote Hr Analyst Jobs in Silver Spring, MD (NOW HIRING)

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