Strategic Compensation Analytics Lead

M.C. Dean; Tysons (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

M.C. Dean is seeking a Senior Compensation Analyst to lead advanced compensation analytics and modeling across engineering, construction, manufacturing, and technology.

The role focuses on building scalable, data-driven compensation programs that support a high-performance culture and evolving workforce strategy. You will design base pay structures, incentive plans, and pay-for-performance frameworks while leveraging AI tools for forecasting and benchmarking.

Qualifications

• Bachelor's degree in HR, Finance, Economics, Data Analytics, or 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 insights.
• Multi-industry compensation benchmarking experience.
• Strong analytical, problem-solving and data visualization skills.

Responsibilities

• Lead advanced compensation analytics and modeling across engineering, construction, manufacturing, and technology.
• Design and enhance base pay structures, incentive plans, and pay-for-performance frameworks.
• Build Excel-based compensation models including merit, promotion, workforce cost forecasting, and scenario analysis.
• Use AI tools to identify trends, improve forecasting, and automate benchmarking and reporting.
• Create dashboards to provide real-time compensation insights for leadership.
• Benchmark compensation across multiple labor markets and translate data into salary structures.

Skills

Advanced analytical capability

Problem solving

Data visualization

Strategic thinking

Stakeholder management

Communication skills

Education

Bachelor's degree in HR, Finance, Economics, Data Analytics, or related field

Tools

Excel

Power BI

Tableau

Job description

M.C. Dean is seeking a Senior Compensation Analyst to lead advanced compensation analytics and modeling across engineering, construction, manufacturing, and technology.

The role focuses on building scalable, data-driven compensation programs that support a high-performance culture and evolving workforce strategy. You will design base pay structures, incentive plans, and pay-for-performance frameworks while leveraging AI tools for forecasting and benchmarking.