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Data Analyst

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: World Fuel Services
Full Time position
Listed on 2026-08-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 75000 - 110000 USD Yearly USD 75000.00 110000.00 YEAR
Job Description & How to Apply Below
## Data Analyst Apply locations:
MIAMI, FL (Remote) time type:
Full time posted on:
Posted Yesterday job requisition :
R22467###
** At World Kinect, 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:

** Central and Eastern US (Remote)  
** Visa Sponsorship:
** At this time, we are not considering candidates who require immediate or future sponsorship for this position.##
** About the Role
** The Data Analyst at
** World Fuel
** will help help drive business value by leveraging data, analytics, and technology to optimize commercial and operational performance. This role partners closely with pricing, sales, supply, and trading teams to improve revenue management, unit margins, and decision‐making through data‐driven insights and automation.

You’ll work with large, complex datasets to build analytical tools, dashboards, and models that support pricing strategy, margin optimization, and business performance across the WFS Land business.##
** What You’ll Do
*** Build and maintain automated data pipelines, tools, and models to support revenue and pricing decisions
* Design and enhance pricing and revenue optimization algorithms
* Analyze large datasets to identify margin and revenue improvement opportunities
* Develop dashboards and reports using tools such as Tableau or Power BI
* Perform ad‐hoc analyses and identify opportunities to automate recurring requests
* Validate and reconcile data across multiple systems to ensure accuracy
* Translate analytical results into actionable insights for business partners
* Support integration of acquisitions into revenue and pricing workflows
* Partner with stakeholders to understand business processes and improve performance through analytics and automation##
** What You Bring**###
** Education
* * Bachelor’s or Master’s degree in Computer Science, Management Information Systems, Economics, Engineering, Operations Research, Mathematics, Applied Mathematics, or a related quantitative field.

Minimum 2 years of relevant professional experience in analytics, data analysis, or a related quantitative role.###
** Technical Skills
*** Strong experience working with large datasets and applied analytics
* Proficiency in
** SQL and Python
*** Experience with
** ETL tools
** such as Alteryx
* Experience building dashboards and visualizations (Tableau, Power BI)
* Comfort implementing analytical and mathematical models###
** Core Competencies
*** Strong analytical and problem‐solving skills
* Ability to translate complex ideas into practical, business‐ready solutions
* Clear communication skills with both technical and non‐technical audiences
* Ability to manage multiple priorities in a fast‐paced environment###
** Preferred Experience
*** Knowledge of the transportation fuel distribution business (gasoline, diesel)
* Experience with fuel pricing, contracts, spot pricing, or CPQ tools##
** Why Join World Fuel
** World Fuel is a global leader in energy and fuel solutions, supporting customers across land, aviation, and marine markets.

This role offers exposure to high‐impact commercial analytics, advanced data solutions, and cross‐functional collaboration within a dynamic, data‐driven organization.#WFS#LI-GR1

World Kinect 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.
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