Engineering Analytics Intern

HF Sinclair•Dallas, TX

1d•Onsite

About The Position

As an Engineering Analytics Intern, you will work alongside engineers, analysts, data scientists, and site teams to solve real operational problems. You may help audit and improve existing condition monitoring tools. This is a hands-on engineering role for someone who wants to connect engineering understanding with modern digital tools and see their work used by operations.

Requirements

Currently enrolled in an Undergraduate Program for chemical, mechanical, electrical, industrial, or a related engineering field.
Working proficiency in Excel and willingness to learn other engineering analytics tools
Clear written and verbal communication, including explaining technical work in practical terms
Analytical, structured problem solving and attention to detail
Ability to work both independently and as part of a team
Initiative and a collaborative attitude when working with engineers, operations, and digital teams

Nice To Haves

Familiarity with Python or other tools used for engineering calculations and data analysis
Experience with modeling, simulation, statistics, or inferential calculations
Curiosity about AI-assisted analytics, prescriptive analytics, and digital transformation in industrial operations

Responsibilities

Work alongside refinery engineers and technical specialists to solve operational, reliability, and performance challenges using engineering fundamentals and process knowledge.
Evaluate process and equipment data to identify trends, investigate issues, and support improvements in safety, reliability, and operational efficiency.
Develop calculations, analysis tools, and digital solutions that help engineers understand process performance and make informed decisions.
Audit and improve existing condition monitoring tools used across the refinery fleet.
Collaborate with operations, process engineering, reliability, controls, and digital teams to define problems, gather information, and deliver actionable recommendations.
Support continuous improvement initiatives focused on monitoring, optimization, troubleshooting, and engineering workflows.
Communicate technical findings and recommendations in practical terms to engineering and operations audiences.
Special assignments or tasks assigned to the employee by their manager, as determined from time to time in their sole and complete discretion.