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Human Capital Analytics Lead

Job in Springfield, Fairfax County, Virginia, 22161, USA
Listing for: Absolute Business Solutions Corp.
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Career Opportunities with Absolute Business Solutions Corp

A great place to work.

Careers At Absolute Business Solutions Corp

Current job opportunities are posted here as they become available.

Absolute Business Solutions Corp (ABSC) is not just another tech company. We’re a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years we’ve supported critical Department of Defense (DoD), Intelligence Community (IC), Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, AI/ML, and Data Science fields.

We are seeking a Human Capital Analytics Lead to support advanced workforce analytics and data-driven decision-making for a federal customer. This role is ideal for an experienced data professional who can work across large HR datasets, build executive-level dashboards, develop predictive models, and translate complex findings into actionable recommendations for leadership.

The successful candidate will combine strong SQL, Python/R/SAS, data visualization, and statistical modeling skills with the ability to automate workflows and support emerging AI/ML capabilities within a Human Capital environment.

Seniority of this role: MID to SENIOR

Clearance Required for this role: TS/SCI willing to take a CI polygraph.

Requirements:
  • Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Economics
    , or a related discipline.
  • Minimum 4 years of experience in data analysis and modeling
    .
  • Minimum 3 years of experience developing automated dashboards
    , preferably for executive-level audiences.
  • Minimum 3 years of SQL database querying experience
    .
  • Minimum 2 years of experience with Python, R, SAS, or a comparable scripting/data manipulation language
    .
  • Minimum 3 years of experience working with large and complex datasets
    , including datasets of 1M+ records
    .
  • Experience integrating data from multiple systems or data sources.
  • Advanced experience with data visualization and business intelligence platforms such as Tableau or Power BI
    .
  • Experience automating data processes and analytical workflows.
  • Strong communication skills with the ability to explain complex analytical findings to non-technical audiences.
  • Active TS/SCI clearance.
Preferred Qualifications:
  • Experience working with federal HRIS platforms
    , such as People Soft, Oracle HCM, or Workday.
  • Knowledge of federal data governance, privacy, and security requirements.
  • At least 2 years of experience with Artificial Intelligence, Machine Learning, or Large Language Models
    .
  • Formal AI/ML training or demonstrated experience applying AI tools to analytical workflows.
  • Previous experience supporting Human Capital, workforce analytics, or HR data environments.
Responsibilities:
  • Analyze complex workforce and Human Capital data to identify trends, risks, and opportunities.
  • Develop and maintain automated executive-level HR dashboards and reporting solutions
    .
  • Build and enhance statistical and predictive models to support workforce planning and HR decision-making.
  • Query, clean, normalize, and integrate large datasets from multiple HR systems.
  • Develop SQL queries and use scripting languages such as Python, R, or SAS for data manipulation and analysis.
  • Automate recurring data processes, reporting, and analytical workflows.
  • Support data quality, validation, migration, and integration activities in coordination with IT teams.
  • Apply AI, Machine Learning, and Large Language Model technologies to improve HR analytics and automate complex analytical tasks.
  • Create data visualizations and business intelligence products using tools such as Tableau or Power BI
    .
  • Present…
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