Production Planning Analyst, Supply Chain

Description

At Amazon, delivering great experiences for our customers is top priority. The Production Planning Team ensures Amazon's Fulfillment Centers have robust and cost optimal labor plans while constantly innovating in a number of areas aimed at improving our customers experience. You will work with stakeholders and data sources to recommend on-going hourly staffing plans and shift structures in all of our European Fulfillment Centers. We are looking for a passionate, analytical and technical person who will relentlessly dive deep, improving the accuracy and efficiency of the planning process. An analyst will be expected to influence network level strategic decisions through partnering with senior stakeholders. The ideal candidate will possess both an analytical background that enables them to support network planning and demonstrate the ability to think broadly and strategically about operational initiatives. They will experience a wide range of problem-solving situations, requiring extensive use of data collection and analysis. They will work in lock-step with multiple business teams including FC operations leadership, HR, finance leadership, supply chain, transportation, work force staffing and others.

Key job responsibilities

Key job responsibilities

• Supporting with input forecasting using trend analysis and statistical modeling to drive decision making.
• Be responsible for the Production Planning as well as cost and service optimization
• Building short/medium and long term operational plans to minimize variable costs associated with staffing
• Analyzing and solving business problems with focus on understanding data deviations, their root causes, and driving forward-looking opportunities
• Communicating complex analysis and insights to stakeholders and business leaders, both verbally and in writing.
• Participate in global operational and production planning initiatives and project roll outs to cater to growing business needs
  
  

Basic Qualifications

• Bachelor's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or experience with SQL and statistical/mathematical programming software packages like R, SPSS, CPLEX, LONDO or Xpress
  
  

Preferred Qualifications

• Experience working in a fast paced, quickly changing or international environment
• Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines
• Experience in capacity planning, operations planning, business analysis or equivalent
• Analysis experience in Advanced Planning & Optimization Systems, with the ability to influence technical teams to achieve the right technical solutions.
• Some programming experience is a plus to automate tools - Basic/Working knowledge of Six Sigma tools and Lean techniques preferred
• Ability to closely work with operation, finance and planning leaders to manage lead-time, capacity, and optimize the impact of labor on supply position throughout the entire supply chain
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
  
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company - ADCI - Karnataka

Job ID: A10417018