Are you a problem solver?

About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

About the Role: As a Data Analyst III, 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.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

Generous holiday allowance with the option to buy additional days
Health screening, eye care vouchers and private medical benefits
Wellbeing programs
Life assurance
Access to a competitive contributory pension scheme
Save As You Earn share option scheme
Travel Season ticket loan
Electric Vehicle Scheme
Optional Dental Insurance
Maternity, paternity and shared parental leave
Employee Assistance Programme
Access to emergency care for both the elderly and children
RECARES days, giving you time to support the charities and causes that matter to you
Access to employee resource groups with dedicated time to volunteer
Access to extensive learning and development resources
Access to employee discounts scheme via Perks at Work

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