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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

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