Yield and AI Enablement Analyst

World Kinect•Miami, FL

1d•Hybrid

About The Position

World Fuel is seeking a highly analytical and commercially minded Yield and AI Enablement Analyst to help maximize profitability across its global aviation fuel business. The role brings together pricing strategy, revenue optimization, data analytics, and emerging AI technologies, with the opportunity to influence business performance and AI-enabled decision making. The analyst works with Sales, Supply, Finance, Revenue Management, Data, and Technology teams to identify revenue and margin opportunities, improve pricing performance, and turn business knowledge into scalable AI-powered workflows and tools. The position is based in Miami (Doral), Florida, with a hybrid schedule requiring three days per week in the office.

Requirements

Bachelor's degree in Business Analytics, Finance, Economics, Data Analytics, Computer Science, Aviation Management, Supply Chain, or a related field.
Experience in pricing analysis, yield or revenue management, commercial analytics, business intelligence, customer success, solutions consulting, or related analytical roles.
Advanced analytical and problem-solving skills, with the ability to turn data into business recommendations.
Experience with Tableau or similar business intelligence and visualization tools.
Working knowledge of SQL and cloud-based data environments, preferably Snowflake.
Experience with workflow automation, business process improvements, or orchestration platforms.
Familiarity with AI tools such as Codex, Claude Code, GitHub Copilot, or similar technologies.
Strong communication and stakeholder management skills, including the ability to influence cross-functional business partners.
Ability to thrive in a fast-paced environment, manage competing priorities, and work independently.

Nice To Haves

Experience in aviation, aviation services, fuel distribution, energy, transportation, commodities, or another high-volume transaction environment.
Background in B2B pricing, customer profitability analysis, margin management, or revenue optimization.
Experience supporting AI initiatives, automation programs, knowledge management, or human-in-the-loop workflows.
Experience with Python, workflow platforms such as n8n, or flight-tracking and operational data sources.
Understanding of responsible AI practices, governance, and data quality principles.

Responsibilities

Analyze account profitability, gross profit, margins, fuel volume, customer activity, and transaction performance across aviation fuel portfolios.
Identify pricing opportunities, margin leakage, account performance trends, and revenue optimization strategies.
Partner with Sales teams to evaluate customer performance and recommend pricing actions that balance growth, retention, and profitability.
Monitor pricing changes and measure their impact on revenue, margins, customer activity, and market competitiveness.
Deliver actionable insights that support commercial decision-making and revenue growth.
Collaborate with Sales, Supply, Finance, Revenue Management, Data, and IT teams to improve pricing effectiveness and business performance.
Use Tableau and other business intelligence tools to analyze performance trends, customer activity, pricing effectiveness, and market dynamics.
Query and analyze data using SQL and cloud-based data platforms such as Snowflake.
Investigate performance variances, pricing anomalies, and business trends to uncover actionable opportunities.
Translate complex data into clear, business-focused recommendations.
Support workflow automation initiatives that improve efficiency, consistency, and scalability.
Review pricing outputs and automated processes for accuracy and reliability.
Identify commercial and operational processes that can be enhanced through AI, automation, and intelligent workflow design.
Document pricing methodologies, decision frameworks, business rules, escalation paths, and operational knowledge for AI-enabled solutions.
Translate business requirements into reusable AI instructions, workflows, and knowledge assets.
Partner with AI, Data, and Technology teams to design, test, and improve AI-powered tools and agent-based workflows.
Develop validation criteria and governance controls to support quality, transparency, and responsible AI adoption.
Contribute to the evolution of AI-enabled decision support capabilities across the organization.
Help realize revenue and margin opportunities, improve pricing consistency and decision quality, support Sales growth and profitability, convert institutional knowledge into AI-enabled capabilities, reduce manual effort, and improve AI-driven business processes.