Human Capital Analytics Lead

Absolute Business Solutions Corp.

• $110K — $130K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Economics, or related field.
  • 4+ years of experience in data analysis and modeling.
  • 3+ years developing automated dashboards for executive audiences.
  • 3+ years of SQL database querying experience.
  • 2+ years with Python, R, SAS, or similar scripting languages.
  • 3+ years working with large datasets (1M+ records).
  • Experience integrating data from multiple systems.

Responsibilities

  • Analyze complex workforce and Human Capital data to identify trends and opportunities.
  • Develop and maintain automated executive-level HR dashboards.
  • Build and enhance statistical and predictive models for workforce planning.
  • Query, clean, and integrate large datasets from multiple HR systems.
  • Automate recurring data processes and analytical workflows.
  • Support data quality and validation activities with IT teams.
  • Apply AI and Machine Learning technologies to improve HR analytics.

Benefits

  • Generous PTO plus 11 Federal Holidays.
  • 401k Fully Vested with Match for retirement planning.
  • Annual Health and Wellness Allowance for fitness-related purchases.
  • Annual funds for Education and Training to support career development.
  • Volunteer Time Off to support a charity of choice.
  • Charitable Match for employee donations to qualifying charities.
  • Referral Program with bonuses for internal and external referrals.
Full Job Description
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 PeopleSoft, 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 analytical findings and data-driven recommendations to senior leaders and non-technical stakeholders.
  • Ensure reports, dashboards, and analytical deliverables meet established quality and performance standards.

Some of our benefits include:

Generous PTO plus 11 Federal Holidays

Retirement Planning • 401k Fully Vested with Match

Annual Health and Wellness Allowance • buy an Apple Watch, a treadmill, or hit the gym on us

Career Development • Annual Funds to spend on Education and Training

Volunteer Time Off • Annually, all employees can spend 8 hours directly supporting a charity of choice

Charitable Match • ABSC matches an employee's donation to a qualifying charity

Referral Program • We pay for internal and external referrals!

LOV Awards • Earn bonus awards throughout the year from our Living Our Values awards program

Apply to join our team today! We are always looking to grow our team - if you know someone who is seeking a new career opportunity, please share this job opening with them! ABSC offers generous external referral bonuses. You don't need to be an employee to benefit from our Referral Program!

*ABSC is a proud V3, Virginia Values Vets, member which recognizes our commitment to hiring Veterans. If you are a veteran, please be sure to include that in your application. Thank you! *

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