Production Planning Analyst, Latam Production - Heredia, Costa Rica - Amazon Support Services Costa Rica SRL

Andrea Rodríguez

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Andrea Rodríguez

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Descripción
A completed Bachelor's Degree in Engineering, Mathematics, IT, finance or related field 2+ years of professional experience.

  • Effectively communication (verbal and written) and interpersonal skills and an ability to effectively communicate with senior level in the business and technical teams.
  • Advanced Excel skills
  • Strong sense of ownership and customer obsession
  • Strong problem solving and troubleshooting skills and an ability to provide creative solutions to complex problems
  • Team player: Strong, demonstrated ability to work across crossfunctional teams, and focus on quality and customer evangelism
  • Ability to deal with ambiguous problem statements
  • Languages: English / Portuguese


Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority.

FOAA is seeking a Production Planning Analyst to support our Latam Production Planning team.

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.

We are looking for a passionate, analytical and technical person to work with us on innovating and improving our processes on behalf of our customers across different geographies.

If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we'd like to talk to you.

Key job responsibilities

Heredia, H, CRI

  • Experience in Operations or Supply Chain
  • Experience in SQL/VBA or any visual analytics platform like PowerBI or Tableau
  • Experience with performance metrics
  • Ability to build scalable analytical models
  • Direct experience in quantitative research or analyses
  • Master's degree (Business, Engineering, Statistics, Computer Science, Mathematics or related field)

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