Supply Chain Analyst, Labor Planning

JobgetherBrussels (Firmensitz, recherchiert)Job.bopublished 09/28/2026
Must-have:DataAIE-CommercePrincipalRemote
Nice-to-have:Python

Accountabilities Assess current and projected labor capacity across fulfillment centers to optimize staffing for cost efficiency and service-level performance.

Maintain and continuously improve staff planning models across multiple facilities.

Build, update, and manage labor planning tools and dashboards using Excel, SQL, and Power BI.

Conduct analytical simulations and reconcile information from multiple systems to validate labor models and ensure data accuracy.

Collaborate with operations stakeholders, process managers, and implementation teams to align labor plans with operational requirements and merchant needs.

Support peak-season labor planning and strategic initiatives related to network expansion and capacity management.

Develop centralized reporting solutions that provide reliable data and enable informed operational planning.

Translate complex operational and workforce data into actionable insights and recommendations.

Identify opportunities for process improvements and contribute to additional analytical and planning initiatives as required.

Requirements

Bachelor’s degree in Supply Chain, Operations, Industrial Engineering, or a related field.

3+ years of experience in labor planning or capacity planning, preferably within warehousing, fulfillment, logistics, or e-commerce environments.

Strong analytical and quantitative skills, with the ability to work confidently with large or complex datasets.

Advanced proficiency in Excel and practical experience with SQL.

Familiarity with Power BI; experience with Python is a plus.

Ability to build and maintain analytical models, dashboards, and reporting tools.

Strong problem-solving skills and a proactive approach to identifying and addressing operational challenges.

Ability to translate complex data into clear, actionable insights for operational and business stakeholders.

Strong attention to detail, particularly when reconciling data across multiple systems.

Effective written and verbal communication skills, with the ability to collaborate across operations and cross-functional teams.

Comfortable working evening hours in India, primarily around 6 PM to 3 AM IST , to maintain overlap with US-based teams, with some flexibility in exact working hours.

Benefits

Fully remote position based in India.

Medical, term, and accidental insurance coverage.

12 days of All Purpose Leave covering casual and sick time.

15 days of Earned Leave.

12 public holidays.

Generous maternity and paternity leave.

Quarterly wellness days.

Work-from-home allowance.

Access to AI and productivity tools as part of the working environment.

Opportunity to work in a high-performance, data-driven supply chain environment.

Exposure to global fulfillment operations and cross-functional teams.

Opportunities for continuous learning, ownership, and professional growth.

Inclusive environment that values diverse experiences, perspectives, and backgrounds.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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