Data Analyst/Senior Data Analyst

Marathon Petroleum Corporation•Findlay, OH

1d•Onsite

About The Position

This role sits in the Dashboarding & Reporting vertical and is an individual contributor responsible for building, enhancing, and maintaining dashboards and standardized reporting outputs that translate value chain performance and planning and model outputs into clear, consistent, and auditable decision support. You will partner with stakeholders to understand reporting needs, strengthen data quality and refresh reliability, and improve accessibility and adoption through reusable templates and standardized visualization. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Requirements

Bachelor’s Degree required, with a preference in Business, Engineering, Computer Science, Information Systems, Mathematics, or related.
Two (2) years’ experience required for Data Analyst.
Four (4) years’ experience required for Senior Data Analyst.

Nice To Haves

Strong Microsoft SQL and data management skills.
Strong communication and time management skills.
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 producing reporting outputs that are consistent and auditable across periods/locations; comfortable documenting logic and validating results.
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

Acquires, validates, and transforms data from approved source systems to create reliable reporting datasets for dashboards and recurring reports; document assumptions and refresh logic.
Performs descriptive and diagnostic analysis to explain KPI movement, identify drivers, and surface exceptions that should be highlighted in dashboards and recurring reporting.
Develops repeatable calculations/metrics (e.g., KPI definitions, measures) used consistently across dashboards and reports.
Applies basic statistical/variance checks to validate reporting outputs, detect anomalies, and support auditability of reported results.
Designs, builds, and maintains Power BI dashboards and standardized reporting outputs that are consistent, auditable, and easy to interpret across planning cycles and locations.
Gathers requirements, prototype visuals, communicate insights and dashboard changes to stakeholders; provide lightweight user guidance to improve adoption and correct interpretation.
Ensures integrity and quality of reporting data through validation checks, reconciliation, and refresh monitoring; troubleshoot data issues with source system owners/IT.
Partners with planning, operations, and commercial teams to prioritize reporting needs and deliver dashboards/reports aligned to agreed KPI definitions and standards.
Continuously improves reporting processes by reducing manual steps, improving refresh reliability, and simplifying end-user workflows.
Follows established data governance and reporting standards; contribute to data flow documentation (definitions, lineage, logic) to ensure reporting outputs are fit for use.
Contributes to sustainable reporting data pipelines and automation by defining requirements, testing outputs, and coordinating with IT/data engineering on refresh and performance improvements.
Maintains standardized KPI definitions and calculation logic used across dashboards and recurring reports.
Owns dashboard lifecycle activities: versioning, release notes, user feedback intake, and iterative enhancements.
Builds “delta views” / comparisons between scenarios or periods to support decision support reporting.
Develops monitoring/communication reporting tools that support the Plan-to-Produce process (reporting outputs, templates, and recurring distributions).