Workforce Specialist

Love's Travel Stops & Country Stores•Oklahoma City, OK

About The Position

Love’s is seeking a highly analytical and strategic workforce analytics professional to join its Workforce Management team. The role works at the intersection of HR, Operations, and data, turning workforce data into actionable insights that inform business decisions. The position collaborates with HR, Operations, IT, and Finance to optimize workforce planning, improve employee experience, and support strategic initiatives.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field.
  • 2–3 years of experience in workforce analytics, HR data science, HRIS, UKG Pro analysis or reporting, HR data analysis, WFM analysis, or a related role.
  • Hands-on experience with UKG Pro, including dataviews, data extraction, and reporting.
  • Proficiency in Power BI for data visualization and dashboard development.
  • Strong SQL skills and experience with Snowflake or a similar cloud data platform.
  • Excellent communication skills and ability to present insights to non-technical audiences.
  • Knowledge of HR metrics, operations business functions and expectations, workforce planning, and organizational behavior.
  • Must be authorized to work in the U.S. without sponsorship now or in the future.

Nice To Haves

  • Experience with Python or R for statistical analysis and machine learning.
  • Familiarity with other HR systems.
  • Understanding of compensation, benefits, and talent management data and how it relates to workforce planning and modeling.

Responsibilities

  • Analyze workforce data to identify trends, risks, and opportunities.
  • Develop and maintain interactive dashboards and reports for HR, Operations, and executive stakeholders using visualization tools.
  • Design and implement data models to support scalable analytics solutions.
  • Use engineered labor standards to inform decisions.
  • Collaborate with cross-functional teams to define KPIs and build predictive models for attrition, hiring, and productivity.
  • Automate data pipelines and reporting processes to improve efficiency and accuracy.
  • Translate complex data findings into clear, actionable recommendations for leadership.
  • Ensure data integrity, security, and compliance with relevant regulations and internal policy.

Benefits

  • Company-funded tuition assistance
  • Paid time off
  • 401(k) with 100% match up to 5%
  • Medical, dental, and vision insurance after 30 days
  • Competitive pay
  • Career development
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