Human Capital Analytics Expert

Golden Key Group•, VA

10h•Onsite

About The Position

We are seeking an experienced Human Capital Analytics Expert to support a federal intelligence agency in Springfield, Virginia. This individual will serve as a subject matter expert in data analytics, data modeling, statistics, and data visualization, helping agency leaders make informed, data-driven workforce decisions. The Human Capital Analytics Expert will develop statistical and predictive models, create executive-level Human Resources dashboards, integrate data from multiple systems, and recommend process and performance improvements. The ideal candidate combines advanced technical expertise with the ability to translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences. Location: Springfield, VA Position is expected to start early 2027 This position is being recruited in support of potential future contract awards, and qualified candidates may be considered for upcoming opportunities supporting federal government clients.

Requirements

Bachelor’s degree or higher in Statistics, Data Science, Mathematics, Computer Science, Information Systems, Economics, or a related discipline from an accredited institution
Active TS/SCI clearance with a current polygraph
Minimum of four years of experience in data analysis and data modeling
At least three years of experience developing automated Human Resources performance dashboards for executive-level audiences
At least three years of experience querying databases using SQL
At least two years of experience using data-manipulation or scripting languages such as Python, R, or SAS
At least three years of experience handling, cleaning, and normalizing large, complex datasets containing one million or more records
Experience integrating data from multiple Human Resources systems
Advanced proficiency with data-visualization and business-intelligence tools such as Tableau or Power BI
Demonstrated ability to automate data processes, reports, and analytical workflows
Ability to communicate complex analytical findings clearly to non-technical audiences
Experience developing and presenting data-driven recommendations to agency leaders
Strong analytical, problem-solving, data-quality, and documentation skills
Ability to work full-time on-site in Springfield, Virginia

Nice To Haves

At least two years of experience working with federal Human Resources Information Systems, such as PeopleSoft, Oracle Human Capital Management, or Workday
Knowledge of federal data-governance, privacy, and security requirements
At least two years of experience using artificial intelligence, machine learning, or large language modeling
Experience applying predictive analytics to workforce planning, talent management, retention, or organizational performance
Familiarity with Human Capital data ontologies, data architecture, or enterprise data-integration practices
Previous experience supporting the Intelligence Community

Responsibilities

Serve as a subject matter expert in Human Capital data analytics, data modeling, statistics, and data visualization
Build and modify statistical and predictive analytics models, algorithms, queries, and methodologies that support Human Resources decision-making
Develop automated Human Resources performance dashboards for executive-level audiences
Support the maintenance and advancement of the agency’s Human Capital data ontology
Coordinate with agency information technology teams to identify and resolve data issues, including data migration, validation, integration, and new capabilities
Query, extract, transform, clean, normalize, and analyze complex Human Resources datasets
Integrate data from multiple Human Resources systems and other relevant sources
Automate data processes, analytical workflows, reporting, and dashboard production
Identify trends, patterns, risks, and opportunities within workforce data
Recommend process and performance improvements based on analytical findings
Ensure all reports, dashboards, and analytical deliverables meet established quality and performance requirements
Apply artificial intelligence, machine learning, and large language model techniques to enhance Human Resources analytics capabilities and automate complex workflows
Generate predictive workforce insights to support strategic workforce planning and decision-making
Present complex findings and data-driven recommendations to agency leaders and non-technical audiences
Maintain effective communication with agency leaders, managers, technical teams, and subordinate personnel
Follow applicable data governance, privacy, security, and records-management requirements