Analyst, Workforce Management

Caleres•Clayton, MO

About The Position

The Workforce Management Analyst supports the store organization by translating sales forecasts, customer traffic, transactions, fulfillment demand, promotional activity, and operational workload into practical store labor plans. The role develops and maintains labor models, evaluates scheduling effectiveness, monitors productivity and payroll performance, and turns complex data into clear recommendations for store, field, and home office partners. The analyst connects Store Operations, Field Leadership, Finance, Human Resources, Information Technology, and Omnichannel teams, balancing customer experience, store execution, workforce capacity, and disciplined labor expense management. The role supports workforce planning and scheduling processes, recurring reporting, operational analysis, pilots, and guidance for field and home office partners. The work takes place in an office/cubicle or approved hybrid environment, with periodic work in stores or field locations and travel based on business needs.

Requirements

  • Bachelor's degree in Business Analytics, Finance, Operations, Industrial Engineering, Economics, Statistics, Supply Chain, Business Management, or a related discipline; equivalent relevant experience is considered.
  • Two or more years of experience in workforce management, retail analytics, labor planning, financial analysis, operations analysis, or a related field.
  • Advanced Microsoft Excel skills, including formulas, pivot tables, lookups, data validation, structured models, and scenario analysis.
  • Experience analyzing large datasets from multiple sources and translating findings into practical recommendations.
  • Strong attention to detail, data integrity, problem solving, organization, prioritization, and time management.
  • Ability to manage recurring deliverables and multiple concurrent projects with different scopes, requirements, and partners.
  • Excellent written, verbal, presentation, and interpersonal communication skills across technical and nontechnical audiences.
  • Ability to travel periodically to stores or field locations based on business needs.

Nice To Haves

  • Multi-unit retail experience.
  • Experience with Power BI, Tableau, SQL, Python, workforce-management, scheduling, timekeeping, payroll, or labor-planning tools.
  • Experience implementing or managing automated scheduling capabilities within a retail workforce-management system; Ceridian Dayforce experience is highly valued but not required.
  • Knowledge of retail labor forecasting, scheduling, productivity, workload measurement, omnichannel fulfillment, and common retail performance metrics.

Responsibilities

  • Develop and maintain store-level labor forecasts, payroll budgets, workload standards, and recurring workforce reporting.
  • Monitor planned, scheduled, and actual labor hours and dollars; identify trends, exceptions, and root causes.
  • Provide field leaders with insights and recommended actions related to labor planning, scheduling, productivity, fulfillment workload, and store operations.
  • Maintain documentation, assumptions, business rules, metric definitions, and end-user guidance for workforce processes and tools.
  • Support annual plans, monthly forecasts, weekly labor planning, in-season reforecasts, peak periods, and ad hoc business needs.
  • Develop store labor forecasts using sales, traffic, transactions, units, operating hours, seasonality, promotional activity, fulfillment demand, and other workload drivers.
  • Translate enterprise sales and financial plans into weekly and daily store labor requirements and allocate approved payroll budgets to stores.
  • Analyze planned, scheduled, and actual hours and labor dollars, distinguishing volume, wage-rate, workload, scheduling, staffing-availability, and execution drivers.
  • Develop and maintain workload standards for selling, checkout, shipment processing, replenishment, pricing, inventory, recovery, visual execution, opening and closing, administrative work, and digital fulfillment.
  • Evaluate store work practices to challenge assumptions, improve workload standards, and strengthen labor-planning accuracy.
  • Evaluate whether schedules align labor with customer demand, operating hours, delivery schedules, fulfillment volume, promotions, and task workload.
  • Support rollout, adoption, configuration, maintenance, and performance monitoring of automated store scheduling processes, including schedule generation, rule validation, field guidance, exception management, and continuous improvement.
  • Create exception-based dashboards, scorecards, and ad hoc reporting that help leaders identify opportunities from enterprise through zone, district, and store levels.
  • Develop and maintain recurring operational reporting, dashboards, and analysis beyond payroll and scheduling, including store performance, field execution, fulfillment activity, and other retail operations priorities.
  • Monitor labor expense and productivity measures, including labor hours, labor dollars, sales per labor hour, units per labor hour, payroll rate, overtime, schedule alignment, and workload completion.
  • Support pilots involving labor deployment, scheduling, store processes, technology, operating hours, fulfillment, or customer service; define measures, track results, and recommend next steps.
  • Serve as a subject matter expert for workforce planning, payroll budgets, scheduling analytics, reporting, and related store operations topics.
  • Manage recurring deliverables and respond to field and home office questions with timely, clear, and accurate guidance.
  • Partner with Store Operations and Field Leadership to understand operating realities and convert analysis into practical field actions.
  • Partner with Finance on labor budgets, forecasts, expense performance, reconciliations, and benefit validation.
  • Partner with Human Resources on scheduling policies, workforce considerations, and change management.
  • Work with Information Technology and workforce-management support teams on data, reporting, testing, system issues, and enhancements.
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