Refining Analytics Engineer

An exciting career awaits you

At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Summary

 Are you passionate about applying analytics to solve complex industrial challenges? Marathon Petroleum’s Refining Analytics organization is seeking a Senior Analytics Engineer to join our growing team. Refining Analytics applies advanced analytics, modeling, and operations research to support safe, reliable, and optimized decision-making across our refining network to maximize efficiency, minimize risk, and unlock value from every barrel.

This role is ideal for someone with deep technical expertise and a passion for solving operational problems with data. As a Senior Analytics Engineer, you’ll help shape the future of analytics in refining by developing advanced decision support systems, applying statistical and machine learning techniques, and translating complexity into clarity for engineering, maintenance, and operations leaders. You’ll collaborate with refining sites, technical support teams, and enterprise IT to deliver impactful solutions at scale in key initiatives.

Key Responsibilities

• Mentor engineers and analysts in data science best practices, statistical thinking, and problem structuring techniques
• Liaison with IT teams implementing large data storage structures and pipelines to ensure compatibility with refining data science efforts
• Perform exploratory data analysis and logistic regression with complex, mixed-type data sets and incorporate the results into decision support systems
• Collaborate with refining technical support engineers in the adoption of machine learning techniques for predictive maintenance, anomaly detection, and process optimization
• Incorporation and socialization of statistical reliability techniques into mechanical and process disciplines
• Manages stakeholder expectations and delivers actionable solutions
• Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets
• Engagement with senior and executive refining leadership to broaden understanding of the value and risks associated with complex mathematical models

Education and Experience

• Bachelor’s degree in engineering, Computer Science, Statistics, Applied Mathematics, or related quantitative field.10+ years of relevant experience required
• Understanding of statistical analysis, machine learning, and anomaly detection
• Experience applying analytics to reliability engineering, process optimization, or asset performance management in refining or heavy industry.
• Strong understanding of predictive maintenance, degradation modeling, and operational risk analytics.
• Strong problem-solving, critical thinking, and analytical capabilities
• Demonstrated capability in line and influence leadership

Skills

• Excellent communication skills to effectively interact with stakeholders and executive teams to gather requirements, present architectural proposals, and collaborate with cross-functional teams
• Capability to prepare reports that communicate effectively to non-technical decision-makers
• Identify and select team members who can integrate with the technology team and add value through application of advanced data analytics
• Demonstrated facility in the deployment of R (or) Python (or) Wolfram Language (or) and their interfaces to industrially significant databases
• Capability to use multivariable analysis in using time series and transactional data to surface correlations – including the use of automated time series lagging

As an energy industry leader, our career opportunities fuel personal and professional growth.

Location:

Findlay, Ohio

Job Requisition ID:

00016620

Pay Min/Max:

$158,700.00 - $237,900.00 Salary

Grade:

14

Location Address:

539 S Main St

Additional locations:

Anacortes WA Refinery, Canton OH Refinery, Carson CA Refinery, Catlettsburg KY Refinery, Detroit MI Refinery, Dickinson ND Refinery, El Paso TX Refinery, Galveston Bay Refinery, Garyville LA Refinery, Home - MN, Kenai AK Refinery, Los Angeles CA Refinery, Mandan ND Refinery, Martinez CA Refinery, Robinson IL Refinery, Salt Lake City UT Refinery, San Antonio, Texas, St Paul Park MN Refinery, Texas City TX Refinery

Education:

Employee Group:

Full time

Employee Subgroup:

Regular

Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship  or any other status protected by applicable federal, state, or local laws.  If you would like more information about your EEO rights as an applicant, click here.

If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.
 
Equal Opportunity Employer: Veteran / Disability

We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.