Strategic Workforce Planning Analyst

O'Reilly Auto Parts

Springfield (MO)

On-site

USD 65,000 - 90,000

Full time

14 days+

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Benefits offered by this job

401k with employer contributions
Medical, Dental, & Vision insurance
Paid time off
Tuition assistance
Career growth opportunities

Job summary

O'Reilly Auto Parts is seeking a Workforce Analytics Analyst to analyze payroll budgets, staffing forecasts, and work schedules to ensure excellent customer service and profitability. The role focuses on data-driven decision making, system configuration, and testing related to the workforce management platform.

The ideal candidate will have strong Excel/Access/SQL skills, a Bachelor’s degree in business or related field, and experience with forecasting.

Qualifications

  • Bachelor's degree or higher in business, finance, or accounting.
  • Strong Excel/Access and SQL data analysis skills.
  • Experience with workforce management or forecasting is preferred.
  • Excellent communication and documentation skills.

Responsibilities

  • Gather and analyze data from multiple sources to inform payroll budgets, staffing forecasts, and schedules for customer service and profitability.
  • Perform ad-hoc what-if analyses to identify trends and opportunities in workforce planning.
  • Analyze key metrics imported from systems into the workforce management system and adjust as needed.
  • Collaborate with field management on event analysis, planning, exclusions, and forecast adjustments.
  • Configure system settings, conduct user acceptance testing, and support adoption by users.
  • Work with IT and vendor teams to test changes and ensure proper access, views, and reporting.
  • Provide reporting from the WFM system to multiple departments and respond to tickets.

Skills

Data analysis
Excel
Access
SQL
Teamwork
Problem solving

Education

Bachelor's degree in Business, Finance, or related field

Job description

O'Reilly Auto Parts is seeking a Workforce Analytics Analyst to analyze payroll budgets, staffing forecasts, and work schedules to ensure excellent customer service and profitability. The role focuses on data-driven decision making, system configuration, and testing related to the workforce management platform.

The ideal candidate will have strong Excel/Access/SQL skills, a Bachelor’s degree in business or related field, and experience with forecasting.

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