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
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., Inc.Originally posted on