Marketing Analyst – Revenue Quality AI (Re‑Imagine RQM)

Job description

Company: NLB FedEx Express Netherlands B.V. Address: Aleja Pokoju 5 Scheduled Weekly Hours: 40 Worker Type: Regular Posting Start Date 19-Jun-2026 Posting Close Date: 26-Jun-2027 Job Family: FXE-EU: Marketing Analyst (ID) Position Summary: We have an exciting opportunity for you to join our team as a Marketing Analyst – Revenue Quality AI (Re‑Imagine RQM) Who we are: FedEx is the largest express transportation company in the world, connecting more than 220 countries and territories. We work every moment to deliver the most important package of someone’s day. Our team of passionate people know their day-to-day work is invaluable in delivering outstanding experience to our customers. 530,000 team members strong, we are as diverse as the world we serve. We love what we do, and we do it well. Our reach is big, and so are our dreams. Join us and let's write our next chapter together. What you will be doing: 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. This is a great fit for motivated people across the business who enjoy solving problems with data, building practical solutions, and want to contribute to a high visibility initiative improving revenue quality using AI supported approaches. Key activities 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. What do you bring with you: We are looking for motivated analysts who enjoy working with data and building new capabilities. Required core skills and competencies: 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 database understand the logic and aggregating them to support the required results Tools Data platforms or cloud-based analytics environments Gemini or ChatGPT Querying: SQL (able to pull/join/filter datasets and validate outputs) Databricks or equivalent Power BI Data quality mindset: comfortable validating inputs, reconciling inconsistencies, documenting definitions and building repeatable logic. Communication & storytelling: can explain the “so what,” highlight risks/opportunities and contribute to concise, decision-ready outputs for non-technical stakeholders. Collaboration: able to work cross-functionally and adapt in a fast-moving build-and-learn environment. Interest in AI-enabled approaches: strong curiosity and proactive mindset in applying AI/ML to detection, monitoring, prioritization and scalable execution. 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. What do we offer: • 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 • FedEx is one of the worlds most admired companies and trusted brands year after year Bring your ideas, individuality, and dreams to our global community. Feel good about where you work. Choose your career path - we’re ready to invest in your development. Join FedEx. English FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity employer and we are committed to a diverse and inclusive workforce in which we provide growth opportunities for all Our Company FedEx Express is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.