Senior/Lead Data Analyst

Marathon Petroleum Corporation

Data Analyst interpreting and communicating outputs from optimization models at Marathon Petroleum. Delivering actionable insights for planning and operations with a focus on data-driven decision-making.

Posted 5/1/2026full-timeFindlay • Ohio, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Translates complex optimization model outputs into clear, actionable guidance for planners, schedulers, and commercial teams.
Ensures consistency and accuracy in interpretation across PPIMS, XPIMS, DPO, and other optimization platforms, using defined interpretation standards and a common glossary.
Provides day-to-day decision support to business users, enabling timely understanding of model recommendations.
Partners with modeling teams to validate assumptions, highlight sensitivities, and align model results with operational realities.
Applies creative problem-solving to reconcile apparent conflicts between model outputs and business intuition, investigating root causes when standard interpretation approaches are insufficient.
Builds and maintains trusted relationships with planners, schedulers, commercial teams, and operations personnel, serving as a bridge between technical modeling teams and business users.
Proactively engages stakeholders to understand their decision contexts, sources of confusion, and skepticism regarding model outputs.
Facilitates dialogue that builds mutual understanding and model confidence, tailoring communication style and technical depth for audiences ranging from front-line users to executive decision-makers.
Partners with Regional VCO, Commercial, and Operations to integrate model insights into planning and execution cycles.
Establishes feedback loops with business users to continuously improve interpretation quality and relevance.
Coordinate with Analytics Support to ensure modeling outputs and decision-support tools evolve in tandem.
Partners with planning, operations, and commercial teams to prioritize reporting needs and deliver dashboards/reports aligned to agreed KPI definitions and standards.
Gathers requirements, prototype visuals, and communicate insights and dashboard changes to stakeholders; provide lightweight user guidance to improve adoption and correct interpretation.
Continuously improves reporting processes by reducing manual steps, improving refresh reliability, and simplifying end-user workflows.

Requirements

What you’ll need

Bachelor’s Degree required, with a preference in Business, Engineering, Computer Science, Information Systems, Mathematics, or related
Four (4) years of experience required for Senior Data Analyst
Six (6) years of experience required for Lead Data Analyst
Strong passion for delivering trusted, easy-to-use dashboards and standardized reporting that improves decision-making and KPI visibility
Experience translating business questions into KPI definitions, report requirements, and dashboard designs that are scalable and maintainable
Experience with data analysis efforts: identifying data sources, querying data, performing exploratory data analysis/modeling, presenting historical insights/business justification, and affecting data-driven business changes.
Exposure to business intelligence self-service analytics software tools such as Tableau, Microsoft Power BI, Alteryx, or others, including data transformation, measures, and performance tuning.
Experience interpreting LP/DPO or refinery models (e.g., PIMS, XPIMS, GAMS, AIMMS) and communicating model output to stakeholders
Creative problem-solving and innovation with new tools, techniques, and approaches to enhance insight accessibility and adoption
Experience connecting optimization model outputs to commercial strategy, pricing signals, and operational decision points
Exposure to Power BI, data visualization, or AI-assisted analytics platforms, including practical use of copilots/assistants for summarization, reporting, and stakeholder communications
Experience with manipulating and analyzing complex, high-volume, high-dimensional data from varying sources and communicating complex quantitative analysis in a clear, precise, and actionable manner
Proven ability to think critically and solve problems, given incomplete information and/or ambiguous requirements.

Benefits

Comp & perks

Health insurance
401k matching program
Paid parental leave
Educational reimbursement
Discretionary company-sponsored annual bonus program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisKPI definitionsreport requirementsdashboard designdata transformationexploratory data analysismodel interpretationquantitative analysisoptimization modelingdata manipulation

Soft Skills

creative problem-solvingcommunicationstakeholder engagementrelationship buildingcritical thinkinginnovationfacilitationdecision supportadaptabilitycollaboration