Sr. Compensation Analyst - Tysons, VA

OverviewAbout M.C. DeanM.C. Dean is Building Intelligence. We design, build, operate, and maintain 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, M.C. Dean delivers resilient, secure, and innovative power and technology solutions through engineering expertise and smart systems integration.Why Join Us?Our people are passionate about engineering innovation that improves lives and drives impactful change. Guided by our core values—agility, expertise, and trust—we foster a collaborative and forward-thinking work environment. At M.C. Dean, we are committed to building the next generation of technical leaders in electrical, engineering, and cybersecurity industries.ResponsibilitiesM.C. Dean is seeking a Senior Compensation Analyst to lead advanced compensation analytics and modeling efforts across a diverse workforce spanning engineering, construction, manufacturing, and technology. This role is critical in building scalable, data-driven compensation programs that support a high-performance culture and evolving workforce strategy.This position requires deep expertise in Excel-based modeling, emerging AI-enabled analytics, and multi-industry compensation benchmarking to inform strategic pay decisions at all levels of the organization.Compensation Strategy & Program DesignDesign and enhance compensation programs including base pay structures, incentive plans, and pay-for-performance frameworksSupport compensation strategies aligned with M.C. Dean’s evolving workforce model, including manufacturing and technical career pathwaysPartner with HR and business leaders to ensure compensation programs drive retention, performance, and internal equityAdvanced Modeling & Analytics (Excel + AI)Develop and maintain complex Excel-based compensation models, including:Merit and promotion modelingWorkforce cost forecastingScenario analysis for compensation strategy decisionsLeverage AI tools and advanced analytics to:Identify compensation trends and anomaliesImprove forecasting accuracy and decision-making speedAutomate aspects of benchmarking, pay analysis, and reportingBuild dashboards and tools to support real-time compensation insights for leadershipMarket Benchmarking Across IndustriesConduct compensation benchmarking across multiple labor markets, including:EngineeringConstruction trades and field operationsManufacturing and production rolesTechnology and corporate functionsUtilize survey data (e.g., Mercer, Radford, industry-specific sources) and alternative data inputsTranslate market data into actionable salary structures, ranges, and pay recommendationsProvide guidance on geographic differentials and competitive positioningPerformance & Pay IntegrationLead analytics for annual compensation cycles, including merit increases, promotions, and incentive payoutsEvaluate pay-for-performance alignment using data-driven insightsSupport executive-level compensation decision-making with robust modeling and scenario analysisData Analysis, Reporting & Executive InsightsProduce clear, data-driven insights and presentations for senior leadershipConduct pay equity and compression analyses, identifying risks and recommending solutionsPrepare compensation recommendations and materials for executive approval processesJob Architecture & Workforce PlanningSupport development and maintenance of job architecture, leveling frameworks, and career pathsAlign compensation structures with workforce planning and succession strategiesContribute to organizational design initiatives through compensation insightsCompliance & GovernanceEnsure compliance with all applicable compensation regulationsSupport audits and maintain documentation of compensation decisions and methodologiesEnsure integrity and accuracy of compensation data and modelsQualificationsBachelor’s degree in Human Resources, Finance, Economics, Data Analytics, or related field5+ years of progressive compensation experienceAdvanced proficiency in Excel (modeling, scenario analysis, large datasets)Experience using AI tools or advanced analytics for workforce or compensation insightsDemonstrated experience conducting multi-industry compensation benchmarkingStrong analytical, problem-solving, and data visualization skillsPreferredExperience in engineering, construction, manufacturing, or technology sectorsFamiliarity with compensation tools and survey platforms (Mercer, Radford, etc.)Experience supporting director- and executive-level compensation decisionsCCP (Certified Compensation Professional) or equivalentExperience building scalable analytics tools or dashboards (Power BI, Tableau, etc.)Key CompetenciesAdvanced analytical and modeling capabilityStrategic thinking with strong business acumenAbility to synthesize complex data into clear recommendationsStrong stakeholder management and communication skillsHigh level of discretion and attention to detailAbilitiesExposure to computer screens for an extended period of time.Sitting for extended periods of time.Reach by extending hands or arms in any direction.Have finger dexterity in order to manipulate objects with fingers rather than whole hands or arms, for example, using a keyboard.Listen to and understand information and ideas presented through spoken words and sentences.Communicate information and ideas in speaking so others will understand.Read and understand information and ideas presented in writing.Apply general rules to specific problems to produce answers that make sense.Identify and understand the speech of another person.