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Sr. Process Data Analytics Engineer

Corning Inc.

Tamaulipas

Presencial

USD 60,000 - 100,000

Jornada completa

Hace 30+ días

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Descripción de la vacante

An established industry player is seeking a Sr. Process Engineer to enhance cable extrusion processes in their optical cable manufacturing facility. This role involves utilizing advanced data analytics and project management to optimize operations, ensuring efficiency and quality. You will manage large datasets, implement statistical process control, and mentor junior engineers. The company is committed to your professional growth and offers a range of health and well-being benefits, along with competitive compensation. Join a forward-thinking team dedicated to innovation and excellence in the communications industry.

Servicios

Medical Insurance
Dental Insurance
Vision Insurance
Paid Parental Leave
Mental Health Programs
Fitness Programs
Companywide Bonus
Professional Development Programs

Formación

  • Proven ability to analyze large datasets using statistical software.
  • Experience in manufacturing environments and project management.

Responsabilidades

  • Develop and improve cable extrusion processes using data analytics.
  • Mentor junior engineers on advanced analytics techniques.

Conocimientos

Statistical Analysis
Data Visualization
Project Management
Problem Solving
Communication Skills
Analytical Abilities
Leadership

Educación

Bachelor's in Engineering

Herramientas

Minitab
R
Python
SQL
PowerBI
Tableau
OSI Pi

Descripción del empleo

Corning is vital to progress – in the industries we help shape and in the world we share.

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry. This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

The Sr. Process Engineer will develop, implement, and improve cable extrusion processes in our optical cable manufacturing facility. They will be responsible for utilizing advanced data analytics and project management to optimize our processes to drive decision-making and improvement execution to ensure consistent, efficient, and capable operation.

Key Responsibilities
  • Management and interpretation of large datasets, utilizing statistical analysis tools, and applying predictive modeling to forecast process outcomes, identify quality issues preventively, and tailor operations to meet precise specifications to guarantee operational excellence and competitive advantage.
  • Track metrics and KPIVs to identify patterns, trends, and insights from complex datasets; provide actionable recommendations (improvement plans).
  • Drive implementation of Statistical Process Control.
  • Own manufacturing process procedures, process parameters, tooling definition by product and recipe management system.
  • Project management for high impact process improvements and/or new product introductions.
  • Develop predictive models to forecast performance issues or inefficiencies in the cable extrusion process.
  • Mentoring junior engineers on advanced analytics techniques, influence organizational changes.
Experiences/Education - Required

Education:

  • Bachelors in Engineering.

Work Experience:

  • Proven ability to use large data set analytics, statistics software, and data visualization (PowerBI, Tableau, etc.) to drive process improvements.
  • Experience in manufacturing environment.
  • Experience in project management.

Required Skills:

  • Proficiency in using advanced statistical analysis software/tools (like Minitab/R/Python, SQL).
  • Data acquisition and control systems (OSI Pi).
  • Familiarity with Design of Experiments (DOE) methodology.
  • Understanding of machine learning algorithms & their application for predictive modeling.
  • Experience in manufacturing environment, preferably involving extrusion or molding.
  • Ability to communicate verbally and in written form.
  • Green Belt certified, or DMAIC methodology application.
  • Strong analytical abilities (statistical).
  • Strong problem-solving.
  • Programming SQL, Python.
  • Ability to work collaboratively across different functional teams.
  • Detail-oriented approach.
  • Leadership.

Corning Puts YOU First!

We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning.

  • Our monetary peer-to-peer recognition program is tied to our Values and celebrates you and your colleagues’ contributions.
  • Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs.
  • Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities.
  • Professional development programs help you grow and achieve your career goals.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com.

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