Data Analyst

Summary

World Fuel is a global company with an entrepreneurial and culturally diverse environment focused on innovation, collaboration, and efficient execution. The company is seeking an early-career Data Analyst to support its Yield and Revenue Management team by analyzing data, building automated pipelines and models, developing dashboards, and delivering insights that improve pricing, revenue, and business performance.

Responsibilities

• 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

Skills

• 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
• Internship, co-op, research, or academic project experience involving data analysis, programming, modeling, or business analytics
• Demonstrated ability to work with data, solve problems, and communicate findings effectively
• SQL
• Python
• Strong analytical and quantitative problem-solving skills
• Experience working with large datasets
• 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
• Location: Remote (Central or Eastern U.S.)
• Visa Sponsorship: Currently, World Fuel is unable to provide current or future employment sponsorship for this position
• 6 months to 1 years of relevant professional experience in analytics, data science, business analytics, pricing, revenue management, or a related quantitative field 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
• 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

Qualifications

Must Haves

• 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
• Internship, co-op, research, or academic project experience involving data analysis, programming, modeling, or business analytics
• Demonstrated ability to work with data, solve problems, and communicate findings effectively
• SQL
• Python
• Strong analytical and quantitative problem-solving skills
• Experience working with large datasets
• 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
• Location: Remote (Central or Eastern U.S.)
• Visa Sponsorship: Currently, World Fuel is unable to provide current or future employment sponsorship for this position

Nice to Haves

• 6 months to 1 years of relevant professional experience in analytics, data science, business analytics, pricing, revenue management, or a related quantitative field 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
• 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

Benefits

• 10% annual target bonus
• Remote work (Central or Eastern U.S.)
• 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