Senior Data Analyst

Marathon Petroleum Corporation•Findlay, OH

6d•Onsite

About The Position

Marathon Petroleum Company LP (MPC) is hiring a data expert in its Commercial organization. The Central Commercial Management Data & Insights team provides analytics and meaningful insights to support the Commercial organization, strengthen trust and confidence in data and analytics, and reduce barriers to timely, actionable insights. This role works closely with Quantitative Analytics teams and offers an opportunity to gain experience in that area. The position is part of a job family with increasing responsibility, competency, and skill levels; the actual title and pay grade depend on the selected candidate’s experience and qualifications. The role partners with business teams to improve analytics and processes; works with business data sources, data models, and system support teams; and develops reliable data solutions. It analyzes large datasets, applies statistical and predictive methods, and communicates findings through dashboards, reports, and presentations. The position also contributes to data governance, continuous improvement, sustainable data pipelines, automation, and advanced analytics. The posting identifies the Senior Data Analyst as Grade 11, requiring four years of experience. It also describes a Lead Data Analyst at Grade 12, requiring six years of experience. The role is located in Findlay, Ohio.

Requirements

Bachelor’s degree required.
Four years of experience required for the Senior Data Analyst, Grade 11 position.
Strong communication and time-management skills.
Passion for answering difficult questions with data.
Experience solving analytical problems using quantitative approaches to generate positive business results.
Experience identifying data sources, querying data, performing exploratory data analysis or modeling, presenting historical insights or business justification, and influencing data-driven business changes.
Ability to think critically and solve problems with incomplete information or ambiguous requirements.
Flexible analytic approach that provides results at varying levels of precision.

Nice To Haves

Bachelor’s degree in Business, Engineering, Computer Science, Information Systems, Mathematics, or a related field preferred.
Experience with data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks, or similar.
Exposure to business intelligence self-service analytics tools such as Power BI or Tableau.
Exposure to quantitative, statistical, econometric, or machine-learning models used to predict outcomes and evaluate alternatives.
Experience manipulating and analyzing complex, high-volume, high-dimensional data from varied sources and communicating complex quantitative analysis clearly and actionably.
Six years of experience for the Lead Data Analyst, Grade 12 position described in the posting.

Responsibilities

Collaborate with business partners to deliver sustainable analytics solutions and process improvements.
Understand business processes and related data sources, and model data for reuse across analyst groups.
Support analytics data solutions and work with system support teams to correct or enhance data.
Acquire, clean, and preprocess raw data from various sources to ensure accuracy and reliability; maintain knowledge of key systems and query them for data.
Analyze large datasets to extract insights and trends.
Develop and implement analytical models to forecast trends and outcomes.
Perform statistical analysis to identify patterns and correlations.
Create clear, compelling dashboards and reports.
Communicate findings to stakeholders through charts, graphs, and presentations.
Maintain data integrity and quality through audits and validation.
Work with cross-functional teams to understand data requirements and deliver insights.
Drive continuous improvement in business processes and data analytics practices.
Establish and support data governance so data is fit for organizational use.
Partner on and lead initiatives to build sustainable data pipelines, automations, and advanced analytics solutions.