Assistant Demand Planning Manager
L'Oreal →Bangkok, Thailand
Estimated range. Confirm compensation with the employer.
Bangkok, Thailand
Estimated range. Confirm compensation with the employer.
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Listing record updated: November 4, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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The Assistant Demand Planning Manager supports L'Oréal's market supply chain by building and challenging monthly consensus demand forecasts, analyzing promotional uplifts, and aligning inventory targets across retail and digital channels. The role facilitates S&OP reviews, communicates with logistics teams, uses digital planning tools and predictive algorithms, and investigates forecast discrepancies.
The successful candidate has practical demand forecasting and baseline modeling capability, advanced data skills using Excel, Power BI, or enterprise APS platforms, and strong communication with commercial, marketing, and finance partners. The role also requires a continuous-improvement mindset and working English proficiency for presenting complex data to regional and transversal teams.
Build and challenge monthly consensus demand forecasts using historical trends, brand launch plans, and commercial inputs.
Facilitate cross-functional sales and operations planning reviews and present volume deviations and mitigation actions.
Coordinate daily with the logistics network to anticipate inventory constraints and protect service levels.
Use digital planning tools and predictive algorithms to improve forecast accuracy and reduce bias.
Conduct root-cause analyses of forecast discrepancies and communicate actionable insights to commercial leadership.
Practical capability in statistical forecasting, baseline modeling, and collaborative monthly demand cycles.
Competence in manipulating complex datasets with advanced Excel, Power BI, or enterprise APS platforms.
Strong communication skills and ability to align commercial, marketing, and finance partners.
Proactive approach to identifying process bottlenecks, testing planning methods, and simplifying reporting.
Working operational proficiency in English, including presenting complex data to regional and transversal teams.
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