Data Analyst

An exciting career awaits youAt MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Summary Do you have a quantitative background? Do you like to solve business problems through data? Marathon Petroleum Company LP (MPC) has an opening in our Commercial organization for a data expert. The 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.

We do that by enhancing the trust and confidence in the data and analytics within Commercial, reducing barriers to timely, actionable insights.

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.

Key Responsibilities Collaborates with business partners to deliver sustainable solutions for analytics and process improvements

Understands business processes and related data sources, models data for reuse across analyst groups

Supports analytics data solutions; works with system support teams to correct and/or enhance data Acquires, cleans, and preprocesses raw data from various sources to ensure accuracy and reliability; maintain knowledge of key systems and query those systems for data Conducts in-depth analysis of large datasets to extract meaningful insights and trends

Develops and implements analytical models to forecast future trends and outcomes

Performs statistical analysis to identify patterns and correlations in the data Creates visually compelling and easy-to-understand dashboards and reports

Communicates findings to stakeholders through charts, graphs, and presentations

Ensures integrity and quality of data through regular audits and validation processes

Works closely with cross-functional teams to understand data requirements and deliver insights

Drives continuous improvement in business processes and data analytics best practices

Establishes and supports data governance to ensure data is fit for optimum use by the organization

Partners and leads initiatives to build sustainable data pipelines, automations, and advanced analytics solutions

Education and Experience Bachelor’s Degree required, with a preference in Business, Engineering, Computer Science, Information Systems, Mathematics, or related.

Zero (0) to two (2) years of experience required.

Preferred:

Strong communication and time management skills.

Strong passion for answering difficult questions with data. Experience solving analytical problems using quantitative approaches to generate positive business results.

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 Power BI or Tableau.

Exposure to data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks 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.

Skills Business Partnerships:
Acting as a trusted advisor and building strong relationships with colleagues and the business to drive business performance.

Communication:
Speaking and writing effectively; demonstrating fundamental command of language; communicating well using all mediums.

Critical Thinking:
Identifying and understanding issues, problems and opportunities; using data analysis to draw conclusions; using judgment in choosing a course of action; intellectually curious.

Data Analysis:
Identifying, evaluating, interpreting and organizing data so that it can be used for business decisions; sorting through data to identify patterns and establish relationships.

Data Operations:
Managing, manipulating, and analyzing data throughout its lifecycle; deriving meaningful insights and supporting decision-making through the collection, storage, retrieval,…