At World Fuel, our employees are the key to our global success. We are industry leaders due to the innumerable talents of our approximately 5000 strong professional team. Our people thrive in an entrepreneurial and culturally-diverse environment, where innovative thinking, collaboration and efficient execution are highly valued. Our high-performance culture is what allows us to drive sustained growth. Stronger together, we promote an environment where individuals can thrive.

Data Analyst

Location: Remote (Central or Eastern U.S.)

Compensation: $75,000-$85,000 DOE annual base salary + 10% annual target bonus

Visa Sponsorship: Currently, World Fuel is unable to provide current or future employment sponsorship for this position.

Launch Your Analytics Career with World Fuel

Are you passionate about data, technology, and problem-solving? Do you enjoy using analytics to solve real business challenges and influence decision-making?

World Fuel is seeking an early-career Data Analyst to join our Yield and Revenue Management team. This role offers a unique opportunity to work directly with pricing, sales, supply, and trading teams while developing advanced analytical, automation, and business partnership skills.

This position is ideal for recent graduates or early-career professionals with strong technical and quantitative abilities who are looking to apply those skills in a fast-paced commercial environment. You will gain exposure to revenue optimization, pricing strategy, machine learning, business analytics, and large-scale data solutions while learning how data drives business performance.

What You'll Do

Build and maintain automated data pipelines, analytical tools, and models that support pricing and revenue management decisions
Analyze large datasets to identify opportunities for margin improvement and revenue growth
Support the development and enhancement of pricing and revenue optimization algorithms
Create dashboards, reports, and visualizations using Tableau and Power BI
Write and optimize SQL queries to extract, transform, and analyze business data
Assist in automating recurring reporting and analytical processes
Validate and reconcile data across multiple systems to ensure data integrity
Present analytical findings and recommendations to business stakeholders
Support acquisition integrations and ongoing revenue management initiatives
Partner with commercial, pricing, and operational teams to improve performance through data-driven insights

What You'll Bring

Education

Bachelor's or Master's degree in:

Computer Science
Data Analytics
Management Information Systems
Economics
Engineering
Operations Research
Mathematics
Applied Mathematics
Statistics
Or a related quantitative field

Experience

Internship, co-op, research, or academic project experience involving data analysis, programming, modeling, or business analytics
6 months to 1 years of relevant professional experience in analytics, data science, business analytics, pricing, revenue management, or a related quantitative field preferred
Demonstrated ability to work with data, solve problems, and communicate findings effectively

Technical Skills

Required

SQL
Python
Strong analytical and quantitative problem-solving skills
Experience working with large datasets

Preferred

Tableau or Power BI
Alteryx or similar ETL tools
Experience building dashboards, reports, or analytical models
Exposure to machine learning, predictive analytics, or optimization techniques through coursework, projects, internships, or professional experience

What Will Make You Successful

We're looking for candidates who:

Have a strong technical and analytical foundation
Are naturally curious and enjoy solving complex business problems
Can translate data into practical recommendations and insights
Are comfortable communicating with both technical and non-technical audiences
Demonstrate commercial curiosity and an interest in how businesses make pricing, revenue, and operational decisions
Want to develop into a trusted business partner who can influence decisions through data-driven insights
Thrive in fast-paced, collaborative environments
Are eager to learn and continuously develop new technical and business skills

Preferred Background

Exposure through coursework, internships, co-ops, academic projects, or professional experience in one or more of the following areas is a plus:

Data analytics or business analytics
Statistical modeling or machine learning
Data visualization and reporting
SQL, Python, or related analytical tools
Commercial, operational, or financial analysis
Pricing, revenue management, logistics, or supply chain analytics

Why Join World Fuel

At World Fuel, you'll work alongside experienced commercial and analytics leaders while developing highly sought-after technical and business skills.

This role offers:

Hands-on experience with large-scale commercial datasets
Exposure to pricing and revenue optimization
Opportunities to develop machine learning and automation capabilities
Direct interaction with business leaders and decision-makers
A collaborative environment focused on learning and growth
Long-term career development opportunities within a global Fortune 100 organization

#WFS

#LI-GR1

World Fuel is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

World Fuel Services, Inc.

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