Senior Data Analyst I - RELX Group

Do you enjoy turning complex data into clear insights that drive better business decisions?

Are you excited by solving challenging problems, leading impactful analytics projects, and helping others grow through data?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( http://www.relx.com ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles.

About the Role

As a Senior Data Analyst I, you will partner with stakeholders to solve business challenges through data-driven insights. You will lead complex analytics projects, transform and analyze large datasets, and create compelling visualizations that support strategic decision-making. This role also provides the opportunity to mentor others, develop innovative data products, and leverage modern analytics and AI tools to deliver meaningful business outcomes.

Responsibilities

• Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.
• Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.
• Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets).
• Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.
• Create clear, compelling data visualizations and narratives tailored to the target audience.
• Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines.
• Serve as a subject matter expert within an assigned domain and coach/mentor junior team members.
• Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation.
• Leverage approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality.
• Develop data products that meet data consumers where they are in their data literacy journey.

Requirements

• Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data).