Manufacturing Data Analyst: Drive Process Insights

Corning Incorporated; Reynosa; Presencial; MXN 180.000 - 300.000; Jornada completa

Descripción de la vacante

Corning Incorporated in Reynosa, Tamaulipas, is seeking a Data Analyst to transform process and quality data into actionable insights for engineering and manufacturing teams. You will apply statistics, SQL, Python, and data visualization to understand performance and support data-driven decisions.

This role emphasizes independent problem solving, collaboration with technical stakeholders, and building dashboards that drive process improvements across manufacturing operations.

Formación

• Bachelor’s degree in a technical field related to data science or analytics.
• Approximately 3+ years of experience in data analytics or process analytics.
• Strong knowledge of statistics and ability to analyze datasets.
• Proficiency with SQL and Python for data analysis and reporting.
• Excellent attention to detail and clear communication with stakeholders.

Responsabilidades

• Analyze manufacturing, process, and quality data to identify trends and improvement opportunities.
• Apply statistical methods such as hypothesis testing, SPC, and DOE.
• Use SQL and Python to extract, prepare, analyze, and visualize data from multiple sources.
• Develop dashboards and reports to support data-driven decisions by engineering and manufacturing teams.

Conocimientos

Statistics

Data Analytics

Data Visualization

English Communication

Educación

Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Industrial Engineering, or a related technical field

Herramientas

SQL

Python

Descripción del empleo

Corning Incorporated in Reynosa, Tamaulipas, is seeking a Data Analyst to transform process and quality data into actionable insights for engineering and manufacturing teams. You will apply statistics, SQL, Python, and data visualization to understand performance and support data-driven decisions.

This role emphasizes independent problem solving, collaboration with technical stakeholders, and building dashboards that drive process improvements across manufacturing operations.