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LexisNexis

Data Analyst

Posted 2 Hours Ago
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In-Office
2 Locations
Mid level
In-Office
2 Locations
Mid level
As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.
The summary above was generated by AI

Do you enjoy working with data?

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

About the Business

LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Top Skills

AI
Aws Sagemaker
Azure Ml
Databricks
Machine Learning
Power BI
Python
Snowflake
SQL
Tableau

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