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Sr. Compensation Analyst - Tysons, VA
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-05-24
Listing for:
M.C. Dean, Inc.
Full Time
position Listed on 2026-05-24
Job specializations:
-
Management
Data Science Manager, Talent Manager
Job Description & How to Apply Below
About M.C. Dean: M.C. Dean is Building Intelligence, designing, building, operating, and maintaining cyber‑physical solutions for the nation’s most mission‑critical facilities, secure environments, complex infrastructure, and global enterprises. With over 7,000 employees, our capabilities span electrical, electronic security, telecommunications, life safety, automation and controls, audiovisual, and IT systems. Headquarters in Tysons, Virginia, we deliver resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration.
Responsibilities- Lead advanced compensation analytics and modeling across a diverse workforce spanning engineering, construction, manufacturing, and technology to build scalable, data‑driven compensation programs.
- Design and enhance compensation programs, including base pay structures, incentive plans, and pay‑for‑performance frameworks, and support strategies aligned with our evolving workforce model.
- Partner with HR and business leaders to ensure compensation programs drive retention, performance, and internal equity.
- Develop and maintain complex Excel‑based compensation models for merit and promotion modeling, workforce cost forecasting, and scenario analysis; leverage AI tools to identify trends, improve forecasting accuracy, and automate benchmarking and reporting.
- Build dashboards and tools for real‑time compensation insights for leadership.
- Conduct compensation benchmarking across engineering, construction trades, manufacturing, and technology markets, using survey data and alternative inputs to translate market data into salary structures, ranges, and recommendations.
- Lead analytics for annual compensation cycles (merit increases, promotions, incentive payouts) and evaluate pay‑for‑performance alignment using data‑driven insights.
- Produce clear, data‑driven insights and presentations for senior leadership; conduct pay equity and compression analyses, and prepare compensation recommendations for executive approval.
- Support development and maintenance of job architecture, leveling frameworks, and career paths; align compensation structures with workforce planning and succession strategies.
- Ensure compliance with all applicable compensation regulations, support audits, and maintain documentation of decisions and methodologies.
- Maintain integrity and accuracy of compensation data and models.
- Bachelor’s degree in Human Resources, Finance, Economics, Data Analytics, or a related field.
- 5+ years of progressive compensation experience.
- Advanced proficiency in Excel (modeling, scenario analysis, large datasets).
- Experience using AI tools or advanced analytics for workforce or compensation insights.
- Demonstrated experience conducting multi‑industry compensation benchmarking.
- Strong analytical, problem‑solving, and data visualization skills.
- Experience in engineering, construction, manufacturing, or technology sectors.
- Familiarity with compensation tools and survey platforms (Mercer, Radford, etc.).
- Experience supporting director‑ and executive‑level compensation decisions.
- Certified Compensation Professional (CCP) or equivalent.
- Experience building scalable analytics tools or dashboards (Power BI, Tableau, etc.).
- Advanced analytical and modeling capability.
- Strategic thinking with strong business acumen.
- Ability to synthesize complex data into clear recommendations.
- Strong stakeholder management and communication skills.
- High level of discretion and attention to detail.
- Exposure to computer screens for extended periods.
- Sitting and standing for extended periods.
- Reach and use hands or arms in any direction.
- Finger dexterity to manipulate objects, e.g., using a keyboard.
- Listen to and understand information presented orally.
- Communicate information effectively in speaking.
- Read and understand written information.
- Apply general rules to specific problems to produce coherent answers.
- Identify and understand another person’s speech.
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