Senior Data Tools Analyst - Excel/VBA & SQL

4500 Marathon Petroleum Company LP; Findlay (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

401k matching program

Paid time off

Paid parental leave

Educational reimbursement

Discretionary annual bonus

Job summary

Marathon Petroleum Company LP in Findlay, OH seeks a senior business analyst to design, build, and maintain Excel/VBA-based case input tools powering Aspen PIMS and PSCP models. The role emphasizes SQL data pipelines, rigorous validation, and regional collaboration to standardize tooling across 13 refineries and four regions.

Applicants should have a Bachelor's degree with 4–6 years of relevant experience, strong Excel/VBA and SQL skills, and familiarity with data transformation and ETL

Qualifications

• Bachelor's Degree required, with related field.
• Four (4) years of experience for Senior; six (6) years for Lead.
• Expertise in automated tools for production processes.

Responsibilities

• Design, build, and maintain Excel/VBA-based case input tools for model runs.
• Develop SQL queries and data pipelines to feed case input tools.
• Collaborate with planning teams across regions to gather requirements.
• Provide day-to-day support and enhancements for planners.
• Document logic and provide end-user guidance for tool adoption.

Skills

Adaptability

Business Partnerships

Communication

Critical Thinking

Customer-focused

Data Analysis

Data Operations

Digital Transformation

Work Management

Time management

Education

Bachelor's Degree

Tools

Excel VBA

SQL

Power BI

Python

ETL tooling

Job description

Marathon Petroleum Company LP in Findlay, OH seeks a senior business analyst to design, build, and maintain Excel/VBA-based case input tools powering Aspen PIMS and PSCP models. The role emphasizes SQL data pipelines, rigorous validation, and regional collaboration to standardize tooling across 13 refineries and four regions.

Applicants should have a Bachelor's degree with 4–6 years of relevant experience, strong Excel/VBA and SQL skills, and familiarity with data transformation and ETL