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Shopee Linkedin · Posted 23d ago

Workforce Budgeting Associate - Shopee

Ho Chi Minh City

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Job Description

  • Labor Cost Planning (Monthly & Quarterly):
  • Collaborate with Workforce Planning and Operations teams to translate headcount plans into accurate labor cost budgets.
  • Develop monthly and quarterly labor cost plans across sites and cost centers, covering full-time employees and outsourced labor.
  • Build and maintain labor cost models, incorporating key cost drivers such as manpower mix, overtime usage, and vendor rates.
  • Partner with Finance Business Partner and Operations stakeholders to align on budgeting assumptions and ensure data consistency.
  • Labor Cost Forecasting:
  • Prepare monthly and quarterly labor cost forecasts for Operations.
  • Analyze variance between Budget, Forecast, and Actuals, identifying key drivers of deviations.
  • Run scenario simulations (e.g., hiring delays, attrition impact, outsourcing mix changes) to assess financial impact.
  • Provide forward-looking cost visibility to support operational planning decisions.
  • Budget Monitoring & Cost Control (Weekly/ Daily):
  • Track daily and weekly actual labor costs against approved budgets across operational sites.
  • Monitor key cost metrics (e.g., overtime usage, labor productivity impact, outsourcing ratio).
  • Identify cost deviations or inefficiencies early and collaborate with Operations to address root causes.
  • Escalate budget risks with data-backed analysis and recommendations.
  • Reporting & Insights:
  • Prepare regular labor cost dashboards and management reports.
  • Provide analytical insights on cost drivers and workforce structure efficiency.

Requirements

  • Bachelor’s degree in Finance, Business, Economics, or related fields.
  • Minimum 3–5 years of experience in budgeting, FP&A, workforce planning, or cost control.
  • Strong analytical and numerical skills; advanced proficiency in Excel/Google Sheets (BI tools are a plus).
  • Experience working with operational or high-volume labor environments is preferred.
  • Strong attention to detail and ability to manage large datasets.
  • Effective communication and cross-functional collaboration skills
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