Process Analytics Engineer: Predictive Modeling & Data Solutions

Default Brand; Pasadena (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading manufacturing firm in Pasadena, Texas, is seeking a Data Analyst to enhance data integrity and analytics adoption across teams. The role involves building predictive models, analyzing data trends, and collaborating with various business units to implement value-driven use cases. Candidates should hold a Bachelor's degree in Engineering or a related field and have experience with analytics tools such as Python and Power BI. Proficiency in emotional intelligence is also required.

Qualifications

• 1+ years of data mining experience.
• 3+ years of experience as an Analyst in an established organization.
• Strong knowledge of reporting packages and databases.

Responsibilities

• Build and deploy statistical and predictive models for process manufacturing.
• Analyze plant issues and create anomaly detection solutions.
• Engage with teams to identify and propose data-driven use cases.

Skills

Emotional Empathy

Flexibility / Adaptability

Interpersonal Skills

Education

Bachelor's degree in Engineering or related field

Tools

Seeq

DataParc

Python

Excel

Business Objects

Power BI

Job description

A leading manufacturing firm in Pasadena, Texas, is seeking a Data Analyst to enhance data integrity and analytics adoption across teams. The role involves building predictive models, analyzing data trends, and collaborating with various business units to implement value-driven use cases. Candidates should hold a Bachelor's degree in Engineering or a related field and have experience with analytics tools such as Python and Power BI. Proficiency in emotional intelligence is also required.