Senior Business Analyst I

Are you a forward-thinking problem solver ready to bridge the gap between complex data and strategic business impact? At RELX INC, we are looking for a Senior Business Analyst I to join our world-class Data & Analytics team. This is more than just a desk job; it is an invitation to work within a mission-driven global organization where your insights will directly influence the IT solutions and services that power our business units. If you are a collaborative professional who thrives on translating intricate requirements into meaningful action, you will find a home here among colleagues who value innovation and professional growth.

In this role, you will be at the heart of our operations, gathering critical work group data and defining the processes that keep us ahead of the curve. You will act as the vital link between technical teams and business stakeholders, ensuring that our projects not only meet, but exceed, our quality and strategic targets. Whether you are mapping out current workflows or architecting the requirements for future-ready systems, your work will have a tangible effect on how we deliver value to our customers. We are looking for someone with a sharp analytical mind and a passion for continuous improvement to help us shape the next generation of our technical infrastructure.

Joining RELX INC means becoming part of a diverse, global community that prioritizes your development and celebrates your unique perspective. We offer a dynamic environment where your contributions are recognized and your career path is supported by mentorship and cutting-edge resources. If you are ready to take the next step in your career and make a significant impact at the intersection of business and technology, we invite you to apply. Come help us build the future of data-driven excellence and see where your expertise can take you.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.