Compensation Analyst

Position: Compensation Analyst - Remote

Location: Remote
Department: Employment and Litigation Services (ELS)

Experience Level: Mid-level (minimum 3 years of experience)

Salary Range: $75000- $90000

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) 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:

• Bachelors 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 )
• 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

Required Experience:

Manager