Data Analytics Engineer II — Process Optimization in Chemicals

IFF

Tlalnepantla

Híbrido

MXN 900.000 - 1.300.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Competitive compensation
Access to professional development programs
Opportunities for cross-regional collaboration

Descripción de la vacante

A global leader in flavors and fragrances seeks an experienced professional in Tlalnepantla for a hybrid role focused on driving process optimization through advanced analytics. This position requires a Bachelor's degree in a relevant field and over seven years of experience in manufacturing or industrial operations, particularly in the chemical industry. The candidate should have strong analytical skills and the ability to collaborate across teams to develop and implement digital solutions that improve manufacturing processes.

Formación

  • 7+ years of experience in manufacturing or industrial operations, ideally in the chemical industry.
  • Proven ability to deliver digital solutions for manufacturing or process optimization.
  • Experience managing projects in Waterfall and/or Agile environments.

Responsabilidades

  • Drive process optimization through advanced analytics solutions.
  • Coordinate problem-solving sessions to develop analytical models.
  • Lead implementation and testing of digital tools in manufacturing.

Conocimientos

Analytical skills
Quantitative skills
Project management
Communication skills

Educación

Bachelor’s degree in Chemical, Process, or Industrial Engineering

Herramientas

SQL

Descripción del empleo

A global leader in flavors and fragrances seeks an experienced professional in Tlalnepantla for a hybrid role focused on driving process optimization through advanced analytics. This position requires a Bachelor's degree in a relevant field and over seven years of experience in manufacturing or industrial operations, particularly in the chemical industry. The candidate should have strong analytical skills and the ability to collaborate across teams to develop and implement digital solutions that improve manufacturing processes.
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