Senior Headcount Planning - SPX Express

1. 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.

2. 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.

3. 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.

4. 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.

• 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.