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Senior/Lead Data Analyst

Marathon Petroleum

Salary not specified
Dec 23, 2025
Findlay, OH, US
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Marathon Petroleum Company LP (MPC) has an opening in our Commercial organization for a data expert. Central Commercial Management Data & Insights team’s mission is to provide exceptional cutting-edge analytics and meaningful insights to empower our Commercial organization to thrive and achieve unparalleled success.

Requirements

  • 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 PowerBI, Alteryx, or others.
  • 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. A flexible analytic approach that provides results at varying levels of precision.

Responsibilities

  • Acquire, clean, and preprocess raw data from various sources to ensure accuracy and reliability; maintain knowledge of key systems and query those systems for data.
  • Conduct in-depth analysis of large datasets to extract meaningful insights and trends.
  • Develop and implement analytical models to forecast future trends and outcomes.
  • Perform statistical analysis to identify patterns and correlations in the data.
  • Create visually compelling and easy-to-understand dashboards and reports.
  • Communicate findings to stakeholders through charts, graphs, and presentations.
  • Ensure integrity and quality of data through regular audits and validation processes.

Other

  • Bachelor’s Degree required, with a preference in Business, Engineering, Computer Science, Information Systems, Mathematics, or related.
  • Four (4) years of relevant work experience required.
  • Strong communication and time management skills.
  • Strong passion for empirical research and answering difficult questions with data.
  • Experience solving analytical problems using quantitative approaches to generate positive business results.