Data Analyst at LexisNexis – Unuted Kingdom

Big Data Analytics
United Kingdom
November 17, 2025
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Job Description

As a Data Analyst, you will consult with internal stakeholders to understand problems, collect and analyze data to support data-driven business decisions, and increasingly leverage AI-enabled tools and techniques to enhance analysis and visualization.

You will use data tools to collate, model, interpret, develop visualizations/information products, and communicate actionable insights to the business. Individuals in this role execute projects and initiatives with high complexity independently and contribute to the organization’s AI and analytics maturity.

Responsibilities:

  • Demonstrate understanding of best practices in analytics and AI-assisted data workflows.
  • Execute on projects and initiatives independently, incorporating automation, generative AI tools, and machine learning–assisted analytics where appropriate.
  • Provide support to analytics team members by sharing expertise in AI-powered data preparation, visualization, and insight generation.
  • Lead analytics efforts of high complexity, ensuring scalability and reusability of solutions through AI-augmented data pipelines and reporting tools.
  • Collaborate with stakeholders to understand their business needs and make data-driven recommendations that may include AI-enabled predictive or prescriptive insights.
  • Maintain commercial awareness and understanding of how AI and data trends are reshaping the market and customer expectations.
  • Create visual displays of data through selected tools and analytical packages, incorporating AI-assisted storytelling and natural language insights.
  • Effectively lead and manage small/operational analytics projects, ensuring adoption of AI-native best practices in workflow efficiency, accuracy, and governance.

Requirements:

  • Bachelor’s or Master’s Degree in Data Analytics, Mathematics, Computer Science, or equivalent work experience.
  • Ability to understand complex data structures and apply advanced blending and refinement techniques, including big data and AI-assisted data preparation.
  • Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred.
  • Experience with visualization tools such as Tableau, Power BI, or AI-augmented BI tools (e.g., Tableau Pulse, Power BI Copilot).
  • Intermediate to advanced understanding of statistics and practical machine learning concepts (classification, regression, clustering).
  • Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker).
  • Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools.
  • Demonstrated curiosity and adaptability to emerging AI trends and ethical data use.
  • Knowledge of different project management approaches and lifecycles, including AI-driven workflow automation and agile analytics delivery.

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