AI-Driven Strategic Data Analyst for Insightful Decisions

4500 Marathon Petroleum Company LP; Findlay (OH); On-site; USD 75,000 - 115,000; Full time

Benefits offered by this job

Educational reimbursement

Discretionary annual bonus

401k matching program

Job summary

Marathon Petroleum Company LP in Findlay, Ohio seeks a Data Analyst to support the CS&PI team within Strategy & Business Development. You will partner with senior leaders to deliver decision-grade insights that clarify uncertainty, identify opportunities, and assess risks across refinery value chains and natural gas/natural gas liquids segments.

This AI-accelerated role emphasizes data fluency, automation, and modern analytics.

Qualifications

• Bachelor’s degree and 6+ years in analytical/strategic roles.
• Fluent with data analysis and AI-powered tools to extract insights.
• Experience in data visualization and scripting/query languages.

Responsibilities

• Engage with stakeholders to understand strategies, market disruptors, and trends.
• Respond to intelligence requests with decision-grade analysis on complex questions.
• Research and validate information from multiple sources and monitor external developments.
• Analyze financial, operational, and industry data to generate insights and recommendations.
• Prepare clear, concise reports and presentations for executives.
• Support M&A, divestitures, and manage virtual data rooms across projects.
• Contribute to cross-functional projects within Strategy & Business Development.

Skills

Data analysis

AI tools

Data visualization

Scripting or query languages

Communication

Critical thinking

Education

Bachelor’s degree in Business, Finance, Economics, Engineering, Data Science, IT

Tools

Power Automate

Copilot

Python

SQL

Job description

Marathon Petroleum Company LP in Findlay, Ohio seeks a Data Analyst to support the CS&PI team within Strategy & Business Development. You will partner with senior leaders to deliver decision-grade insights that clarify uncertainty, identify opportunities, and assess risks across refinery value chains and natural gas/natural gas liquids segments.

This AI-accelerated role emphasizes data fluency, automation, and modern analytics.