Marketing Analyst – Revenue Quality AI

FedEx

Marketing Analyst in Revenue Quality AI team developing data-driven solutions at FedEx. Analyzing customer, shipment, and commercial data to enhance decision-making and revenue quality.

Posted 6/20/2026full-timeKrakow • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ETLPython

About the role

Key responsibilities & impact

Re Imagine RQM is our internal effort to build a full Revenue Quality Management (RQM) capability in Europe - developing practical, data-driven solutions that improve revenue quality and create the foundation for an AI-enabled RQM program over time.
As a Marketing Analyst in the Revenue Quality AI team, you will work hands-on with customer, shipment, and commercial data to identify opportunities, explain what is happening (and why), and turn insights into actions.
You will help design and deliver early tools, reporting, and scalable analytical solutions that support decision-making and execution - aiming for multi million impact through improved revenue quality.
Develop data-driven insights: analyze large and diverse datasets to identify revenue quality opportunities, customer behavior patterns, compliance risks and drivers of leakage or inefficiency.
Translate insight into action: turn findings into clear, prioritized recommendations and help stakeholders understand “what to do next” and how to measure success.
Build practical solutions: contribute to creating and improving AI-supported tools, analytical products, automation, scorecards, alerts, and/or reporting that make RQM execution repeatable and scalable (solutions may evolve over time).
Connect data across sources: locate, extract, and connect relevant datasets; support data quality checks, documentation and consistent definitions to improve reliability and speed.
Collaborate cross-functionally: work closely with partners across Sales, Operations, Pricing, Finance/Analytics, and Engineering/Reporting support to align on needs, inputs and outcomes.
Support continuous improvement: help refine success metrics, validate assumptions, and improve how we monitor outcomes so insights lead to measurable impact.

Requirements

What you’ll need

Hands-on AI expertise: proven experience applying artificial intelligence in real-world projects (e.g., machine learning models, generative AI, predictive analytics or automation use cases) with measurable business impact.
Agentic AI capabilities: ability to design, build, and deploy AI agents or AI-driven workflows to automate tasks, enhance decision-making, or orchestrate complex processes.
Statistical and machine learning fundamentals: solid understanding of core concepts (e.g., regression, classification, feature engineering, model validation, overfitting) and ability to apply them to real business problems.
Data engineering & pipeline awareness: understanding of how data pipelines are built and maintained (ETL/ELT), including data modeling concepts and working with large-scale datasets in structured environments.
Model deployment & lifecycle management: experience contributing to or supporting the deployment, monitoring and continuous improvement of analytical models or AI-driven solutions in production environments.
Strong analytical problem-solving: able to structure ambiguous questions, analyze data and translate findings into clear insights and recommended actions.
Ability to work with big databases and understand the logic and aggregating them to support the required results.
Nice to have Python for analysis/automation (or similar scripting experience).
Background in pricing, revenue management, finance, operations analytics, sales operations, customer or commercial insights.

Benefits

Comp & perks

Attractive compensation package
Training to get you started and on-the-job learning opportunities
Extensive learning resources to further develop your skills and knowledge
Tuition Assistance Program (*applicable for FedEx positions with a permanent contract)
Employee Assistance Program for you and your family in difficult life situations
Employee reduced-rate shipping
Great career opportunities

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Hard Skills & Tools

artificial intelligencemachine learningpredictive analyticsdata engineeringETLdata modelingstatistical analysisPythondata analysismodel deployment

Soft Skills

analytical problem-solvingcollaborationcommunicationstakeholder engagementcontinuous improvementinsight translationdecision-makingprioritizationdocumentationadaptability