Workforce PMO & Analytics (Scommerce)

Shopee; Philippines; On-site; PHP 700,000 - 1,300,000; Full time

Job summary

Shopee is seeking a skilled workforce planning and analytics professional to drive headcount and cost planning for warehouse operations. You will design performance metrics, oversee hiring processes with HR and vendors, and lead data-driven workforce initiatives across the network.

The role requires strong analytical skills, experience in logistics or ecommerce, and fluency in Thai and English to collaborate across regional teams.

Qualifications

• Degree in business/ economics/ statistics or related field.
• 2+ years in consulting, project management or data analytics with workforce planning exposure.
• Advanced Excel/Google Sheets; SQL is a strong plus.
• Ability to structure problems and manage cross-functional projects end-to-end.
• Strong business sense and ability to translate data into decisions.
• Excellent stakeholder management and communication across functions.
• Fluent in Thai and English.

Responsibilities

• Headcount planning and hiring management for budget submissions and planning cycles.
• Design and roll out productivity-based incentive schemes and track performance metrics.
• Drive WFM product adoption across warehouses and coordinate rollouts.
• Explore data analytics, build dashboards, and report insights to senior management.

Skills

Advanced Excel/Google Sheets

SQL

Data analytics

Stakeholder management

Problem structuring

Agility

Communication

Education

Bachelor's degree in Business Administration, Economics, Statistics, Supply Chain Management or related field

Tools

WFM system

Job description

Job Description:

• Headcount Planning & Hiring Management: Build and maintain the warehouse labor model, converting volume forecasts, productivity targets and span-of-control assumptions into headcount and cost plans for budget submissions and periodic planning cycles oversee and standardize the end-to-end hiring process in partnership with HR and the vendor management team.
• Performance & Incentives: Design, roll out and reconcile productivity-based incentive schemes Define individual performance metrics for frontline staff, build integrated visibility across staff profile, attendance and performance data, and launch data-driven initiatives to manage performance and continuously strengthen the workforce mix.
• WFM Product Adoption: Drive adoption of workforce management system modules (e-KYC, roster planning, facial attendance, leave, overtime, etc.) across warehouses Gather requirements from Operations and HR, raise enhancement requests to product teams, and lead rollout to fully digitalize manpower data.
• Data Analytics: Explore automation and AI tools to build and maintain workforce dashboards covering headcount, fill rate, attendance, productivity and labor cost across the warehouse network Conduct deep-dive analysis to identify cost drivers and productivity gaps Translate findings into clear recommendations and regular reports for operations and senior management.

Requirements:

• Education: Bachelor's degree in Business Administration, Economics, Statistics, Supply Chain Management or a related field.
• Experience: 2+ years in consulting, project management or data analytics exposure to workforce planning, manpower management or operations is a plus, preferably in logistics, e-commerce or manufacturing.
• Analytical & Modeling Skills: Advanced Excel/Google Sheets skills. Proficiency in SQL is a strong plus.
• Project Delivery: Proven ability to structure problems and manage cross-functional projects end to end, from requirements gathering and SOP documentation through system or process rollout and change management.
• Business & Operational Acumen: Quick to grasp operational workflows, shift structures and labor-cost trade-offs, and able to connect data insights to business decisions.
• Stakeholder Management: Strong communication and influencing skills to collaborate effectively across Operations, HR, Finance, Product and Regional teams.
• Agility: Comfortable making fast, data-driven decisions in a high-pressure, fast-changing environment.
• Language: Fluent in Thai and English.