Senior Data Analyst

Marathon Petroleum; Findlay (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Marathon Petroleum is seeking a data expert to support the Commercial organization through advanced analytics, data modeling, and governance. You will partner with Quantitative Analytics and cross-functional teams to deliver insights that drive business decisions.

The role offers progression within a family of positions (Senior to Lead) with experience-based grading. Candidates should have a strong background in data analytics and BI tools across large datasets.

Qualifications

• Bachelor's Degree required in a related field (Business, Engineering, CS, IS, Maths or related).
• Four (4) years experience for Senior Data Analyst.
• Six (6) years experience for Lead Data Analyst.
• Experience with data analysis efforts: identifying data sources, querying data, EDA/modeling, presenting insights, and affecting data-driven changes.
• Experience with data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks or others.
• Exposure to BI self-service analytics tools such as Power BI or Tableau.
• Exposure to quantitative, statistical, econometric, or ML models to predict outcomes.

Responsibilities

• Collaborates with business partners to deliver analytics and process improvements.
• Models data for reuse across analyst groups and understands business processes and data sources.
• Acquires, cleans, and preprocesses raw data to ensure accuracy and reliability; maintains knowledge of key systems.
• Develops analytical models to forecast trends and communicates findings clearly.
• Creates dashboards and reports and communicates insights to stakeholders.
• Drives continuous improvement in data analytics practices and data governance.

Skills

Data analysis

Critical thinking

Communication

Business partnerships

Problem solving

Education

Bachelor's Degree

Tools

SQL

ADF

Synapse

Power Query

M

Databricks

Power BI

Tableau

Job description

An exciting career awaits you

At 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 role will work closely with Quantitative Analytics teams; the ideal candidate will have a passion to gain experience in that area.

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.
• Senior Data Analyst - Grade 11 Four (4) years experience required.
• Lead Data Analyst - Grade 12 Six (6) years 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.
  • Experience with data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks or others.
  • Exposure to business intelligence self-service analytics software tools such as Power BI or Tableau.
  • Exposure to quantitative, statistical, econometric, or machine learning models used to predict outcomes and evaluate alternatives.
  • 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, transformation, and visualization of data.
• Data Reporting: Accessing information from databases, forms, and other sources, a