indeed
Data Analyst
Marathon Petroleum
Findlay, USA
Full-time
Onsite
Discovered Today
Data acquisition and preprocessingData analysisStatistical analysisPredictive modelingData visualization and dashboardsData quality and validation
Role Overview
The role supports the Central Commercial Management Data & Insights team in the Commercial organization.
The team aims to improve trust in data and analytics and enable timely, actionable insights.
Key Skills for This Role
Data acquisition and preprocessingData analysisStatistical analysisPredictive modelingData visualization and dashboardsData quality and validation
Full Job Posting
Position summary
The role supports the Central Commercial Management Data & Insights team in the Commercial organization.
The team aims to improve trust in data and analytics and enable timely, actionable insights.
Analytics and data work
- Partner with business teams to deliver sustainable analytics solutions and process improvements.
- Understand business processes and data sources; model data for reuse across analyst groups.
- Support analytics data solutions and work with system support teams to correct or enhance data.
- Acquire, clean, preprocess, and query data from varied sources and key systems.
- Analyze large datasets, identify trends and correlations, and develop forecasting models.
- Create dashboards and reports and communicate findings through charts, graphs, and presentations.
- Audit and validate data quality; collaborate across teams to deliver insights.
- Support data governance, sustainable pipelines, automation, and advanced analytics initiatives.
Education and experience
- Bachelor’s degree required; a degree in Business, Engineering, Computer Science, Information Systems, Mathematics, or a related field is preferred.
- Zero to two years of experience required.
Preferred qualifications
- Strong communication and time-management skills.
- Experience using quantitative approaches to solve analytical problems and generate business results.
- Experience identifying data sources, querying data, exploratory analysis or modeling, presenting insights, and informing data-driven changes.
- Exposure to Power BI or Tableau and data transformation tools such as SQL, ADF, Synapse, Power Query, M, or Databricks.
- Ability to analyze complex, high-volume data and communicate quantitative analysis clearly.
- Critical thinking and problem-solving skills, including working with incomplete information or ambiguous requirements.
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