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Human Capital Analyst

Job in Silver Spring, Montgomery County, Maryland, 20901, USA
Listing for: A-P-Ventures-LLC
Full Time position
Listed on 2026-11-01
Job specializations:
  • Business
    Business Systems & Technology Analysis, Business Intelligence, Data Analyst, Change Management
  • IT/Tech
    Business Systems & Technology Analysis, Business Intelligence, Data Analyst, Change Management
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

CLEARANCE: Must be able to obtain aHigh-Risk Public Trust

COMPANY OVERVIEW

At APV,we'remore than a technology company —we'rea mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Ourexpertisespans AI/ML, data architecture, low-code/no-code development, Agile Dev Sec Ops , and cloud services, delivering scalable and meaningful solutions.

In our Emerging Technology Lab, innovation drives progress. Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. Ifyou'repassionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007,we'vepartnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations.

With 70+ prime contracts and a proven record of client success, APV continues to grow — andwe'relooking for exceptional talent to grow with us.

At APV, we Always Provide Value POSITION SUMMARY

APV is seeking a Human Capital Analyst to provide analytical, operational, and program support to its client, the U.S. Department of Homeland Security (DHS), Office of the Chief Human Capital Officer (OCHCO), in a fully remote environment. The analyst will transform workforce data, stakeholder input, and federal requirements into actionable insights, executive-ready products, process improvements, and implementation recommendations.

Working as part of the APV project team, this position will collaborate with DHS stakeholders across human resources, workforce planning, data analytics, HR information technology, and program offices to strengthen decision-making and improve human capital service delivery. The analyst may support Core Human Capital Management modernization, workforce planning, HR shared services, hiring and onboarding, process improvement, data governance, and workforce intelligence initiatives.

DUTIES
  • Analyze workforce data related to staffing, vacancies, attrition, retirement eligibility, hiring, onboarding, workforce demographics, workload, skills gaps, and organizational capacity.
  • Develop workforce forecasts, gap assessments, staffing models, trend analyses, and scenario-based recommendations.
  • Create and maintain dashboards, scorecards, recurring reports, data visualizations, staffing trackers, and executive summaries.
  • Validate and reconcile information obtained from human capital systems, spreadsheets, surveys, and program offices.
  • Identify data-quality concerns, reporting inconsistencies, workforce risks, and recommended corrective actions.
  • Translate complex workforce information into concise findings and recommendations for senior leadership.
  • Support Core HCM and HR technology modernization through requirements gathering, virtual stakeholder interviews, business-rule documentation, user stories, use cases, and implementation planning.
  • Document current-state and future-state business processes, workflows, roles, dependencies, decision points, and system requirements.
  • Facilitate virtual working sessions with DHS process owners, HR subject-matter experts, data owners, security personnel, IT teams, and program leadership.
  • Review applicable DHS and Office of Personnel Management policies and guidance and translate requirements into operational recommendations.
  • Evaluate human capital programs and processes to identify inefficiencies, risks, control gaps, and opportunities for standardization, automation, or improved customer service.
  • Support approved artificial intelligence and automation use cases while maintaining appropriate security, privacy, quality-control, and human-oversight requirements.
  • Prepa…
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