Process and Equipment Monitoring Analyst/Engineer

Your Job

The monitoring team at Flint Hills Resources in Corpus Christi Texas is seeking a motivated and self-driven Process & Equipment Monitoring Analyst to join us in growing and improving our monitoring capability.

Our Team

Our team is cross-site and partners with FHR's operating facilities, collaborating across multiple disciplines to identify and communicate anomalous operating behavior of our processes and associated equipment.

The team applies technology with an enterprise-wide approach that drives transformational improvement in business performance by bringing actionable insights to the facilities.

What You Will Do

• Monitoring processes and associated equipment in the area of responsibility (~25-50%)

• Leverage data analysis technology to automatically identify potential process and equipment anomalies (early failures, adverse process conditions, etc.)

• Utilize data and experience to validate identified anomalies.

• Communicate validated anomalies via established work processes, including relevant information and data that may be useful in resolving the anomaly.

• Build and maintain data-based models that will automatically detect process and equipment anomalies (~25-50%)

• Work together with monitoring team and site resources on chronic problems or large opportunities where the combined skills of the team can help to solve problems (~10-25%)

• Support the development of work processes and tools to effectively deliver value to our partner sites.

(~0-25%)

Who You Are (Basic Qualifications)

• Bachelor's degree in engineering with at least one (1) year of process industry experience (understanding of chemical processes and associated equipment) OR ten (10) years of process or reliability experience.

• Experience analyzing data utilizing computer software (i.e., Excel, PI)

What Will Put You Ahead

• Bachelor's Degree or higher in Chemical, Mechanical or Electrical Engineering

• Knowledge and understanding of software and statistical methods for modeling.

• Experience with data management

• Experience with programs like AVEVA PI, Power BI, MatLab, or Python

• Knowledge and understanding of reliability fundamentals.

This role is subject to the Transportation Workers Identification Credentialing (TWIC) rule and requires the successful candidate to obtain a TWIC identification badge, allowing for un-escorted access to the facility within a specific time period.

At Koch companies, we are entrepreneurs.

This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.

Any compensation range provided for a role is an estimate determined by available market data.

The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.

If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring ...