Coordinator - Data Analytics

About the role

Sunoco LP is a leading energy infrastructure and fuel distribution master limited partnership operating across 47 U.S. states, Puerto Rico, Europe, and Mexico. The Partnership's midstream operations include an extensive network of approximately 9,500 miles of pipeline and over 100 terminals. This critical infrastructure complements the Partnership's fuel distribution operations, which serve approximately 10,000 convenience stores, independent dealers, commercial customers, and distributors. At Sunoco, we take great pride in what we do and wholeheartedly believe our employees drive success for our company and our customers.

This is a twelve (12) week paid internship program beginning May 2026. You must be currently enrolled in an undergraduate or graduate degree program with an expected graduation date in Fall 2026 or Spring 2027. During your internship, you will have direct access to senior leadership within the organization as well as the opportunity to work on high-impact strategic projects in addition to your core departmental responsibilities.

Responsibilities

• Develop and refine datasets, reports, dashboards, models that drive strategic decision-making
• Manage project deployment pipelines that takes code from development environments to production
• Serve as a thought partner to your teammates, contributing to the team’s strong problem-solving orientation
• Collaborate with cross-functional partners to ensure your work is understood and supported across the organization

Requirements

• Currently enrolled in college - we’re open to candidates of all degrees
• Preferably junior status
• General requirements include self-motivated individuals, involvement in activities outside college studies
• Above average GPA
• Distinctive problem-solving skills and an intellectual curiosity to solve unique and oftentimes complex problems
• Strong work ethic and high level of self-motivation and accountability to “get stuff done”
• Ability to operate effectively in a fast-paced environment with occasionally tight deadlines
• Excellent written and verbal communication skills
• Able to write database queries using the SQL programming language
• Experience with data cleaning in either the R or Python programming languages using packages such as `dplyr` and `pandas`
• Familiarity with version control systems such as Git