Production Planning Analyst, Production Planning Team

Production Planning Analyst, Production Planning Team

Production Planning Analyst – Global Finance Solutions (GFS)

Amazon is a US-based multinational e-commerce company headquartered in Seattle, Washington. Amazon’s Global Finance Solutions (GFS) team operates in a fast-paced, collaborative, and customer-focused environment. Delivering exceptional customer experiences is our highest priority. We are currently seeking a Production Planning Analyst to support our Production Planning Team (PPT).

The Production Planning Analyst will play a key role in ensuring Amazon’s Fulfillment Centers (FCs) and Delivery Stations operate with robust, cost-effective, and scalable labor plans. This role partners closely with multiple stakeholders and leverages data-driven insights to recommend optimal hourly staffing plans and shift structures across regions. The ideal candidate is analytical, technically skilled, and passionate about improving planning accuracy and operational efficiency.

• Partner with senior stakeholders to influence network-level strategic planning decisions.
• Develop and maintain accurate hourly staffing plans and shift structures across Fulfillment Centers and Delivery Stations.
• Support input forecasting using trend analysis and statistical modeling to enable data-driven decision-making.
• Own production planning, cost optimization, and service optimization for WWOps.
• Build short-, medium-, and long-term operational plans to minimize variable labor costs while maintaining service levels.
• Analyze complex business problems, identify root causes, and recommend forward-looking solutions.
• Communicate complex analyses and insights clearly to business leaders through written and verbal communication.
• Collaborate cross-functionally with FC Operations leadership, HR, Finance, Supply Chain, Transportation, and Software Development teams.
• Participate in global operational and production planning initiatives and support project rollouts aligned with business growth.
• Drive process improvements and standardization across planning workflows and network sites.

• Strong analytical background with experience in data analysis and operational planning.
• Experience using data to support forecasting, planning, and business decision-making.
• Ability to work cross-functionally and influence stakeholders at various leadership levels.
• Strong written and verbal communication skills.

• Experience in production planning, workforce planning, supply chain, or operations analytics.
• Proficiency in SQL, Excel, or other analytical and visualization tools.
• Experience working in a fast-paced, large-scale operational environment.

• Experience in capacity planning, operations planning, business analysis or equivalent.
• Bachelor’s degree in sciences, engineering, finance or equivalent.
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development.
• Knowledge of Microsoft Excel at an advanced level, including pivot tables, macros, index/match, vlookup, VBA, data links, etc.
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience troubleshooting and debugging technical systems and experience in technical support.

• Experience in supply chain such as contracting, demand management and/or planning and procurement, and supply chain operations.
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, Quick Sight, Micro Strategy, Power
  
  BI) and statistical methods (e.g. t-test, Chi-squared).
• Experience reviewing and analyzing performance metrics to identify areas of opportunity that will drive performance improvement.
• Experience with analytical tools and ability to dive deep into metrics and reporting.
• Master’s degree or above in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent.
• Ph.D. in a quantitative field, or experience applying quantitative analysis to solve business problems and making data-driven business decisions.

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Posted: November 27, 2025

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