Senior Headcount Planning - SPX Express

4-6 Years

Job Description

Job Description

Workforce Planning & Headcount Consolidation:
Consolidate headcount requests from Back Office functions and validate against the approved structure.
Analyze the rationale of manpower requests based on workload, role scope, and organizational design.
Track Actual vs. Approved headcount and highlight discrepancies.
Proactively challenge unclear or inconsistent manpower justifications using data-backed analysis.
Operational Workforce Analysis:
Translate operational volume forecasts into manpower requirements using productivity benchmarks and service level assumptions.
Analyze variances between model headcount, actual manpower, and operational performance.
Identify workforce inefficiencies such as overstaffing, understaffing, or productivity gaps.
Identify risks and recommend adjustments to workforce logic when assumptions no longer align with operational realities.
Workforce Monitoring & Reporting:
Monitor weekly and monthly manpower movement, including hiring progress and attrition impact.
Prepare periodic workforce reports with clear analysis and insights.
Ensure accuracy, consistency, and integrity of workforce data across stations.
Continuous Improvement:
Proactively identify gaps or weaknesses in existing headcount models and tracking processes.
Recommend enhancements to productivity assumptions and manpower planning logic.
Support the standardization of workforce planning frameworks across operations.

Requirements

Bachelor's degree in Business, Finance, HR Analytics, or related fields.
4 - 6 years of experience in Workforce Planning, HR Analytics, Operations Planning, or Data Analysis related to manpower.
Strong analytical and numerical skills, advanced Excel proficiency (complex formulas, data modeling, scenario analysis).
Experience working with frontline operations (logistics, e-commerce, manufacturing, or service operations) is a plus.
Ability to independently analyze data and challenge assumptions constructively.
Strong communication skills.
Close attention to detail and the ability to work with large datasets under tight timelines.