Data Analyst

Data Analyst

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data to support business decisions and leverage AI tools for enhanced insights.
  • Company: Join LexisNexis, a global leader in data and analytics with a collaborative culture.
  • Benefits: Enjoy generous holidays, health benefits, flexible hours, and extensive learning resources.
  • Why this job: Make an impact by using cutting-edge AI and data analytics to drive business success.
  • Qualifications: Degree in Data Analytics or related field; experience with SQL, Python, and visualisation tools.
  • Other info: Work-life balance is a priority, with opportunities for personal growth and community involvement.

The predicted salary is between 28800 - 48000 £ per year.

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, 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.

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.

Benefits:

  • Generous holiday allowance with the option to buy additional days.
  • Health screening, eye care vouchers and private medical benefits.
  • Life assurance.
  • Access to a competitive contributory pension scheme.
  • Save As You Earn share option scheme.
  • Travel Season ticket loan.
  • Electric Vehicle Scheme.
  • 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.

Data Analyst employer: LexisNexis Legal

At LexisNexis, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Analyst, you will benefit from flexible working hours, generous holiday allowances, and extensive learning opportunities, all while contributing to cutting-edge AI and analytics solutions that drive meaningful business decisions. Our commitment to employee wellbeing is reflected in our comprehensive benefits package, including health screening, parental leave, and community support initiatives, making LexisNexis a truly rewarding place to advance your career.
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Contact Detail:

LexisNexis Legal Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to current employees at LexisNexis on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can give you an edge!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving AI tools and visualisation techniques. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.

✨Tip Number 3

Prepare for the interview by brushing up on common data analysis scenarios and AI applications. Think of examples from your past work where you used SQL, Python, or visualisation tools to solve complex problems. We want to see how you think and approach challenges!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the LexisNexis team. Let’s get you that Data Analyst position!

We think you need these skills to ace Data Analyst

Data Analysis
SQL
Python
AI/ML Libraries
Data Visualization
Tableau
Power BI
Machine Learning Concepts
Big Data Platforms
Cloud-based AI Analytics
Statistical Analysis
Project Management
Automation
Communication Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any AI tools you've used. We want to see how your skills match what we're looking for!

Showcase Your Projects: Include specific projects where you've used data analytics to drive decisions. If you've worked with visualisation tools like Tableau or Power BI, let us know how you made an impact. Real examples speak volumes!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data analytics and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of our mission.

Apply Through Our Website: For the best chance of success, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at LexisNexis Legal

✨Know Your Data Tools

Familiarise yourself with the data tools mentioned in the job description, like SQL and Python. Be ready to discuss your experience with these tools and how you've used them in past projects, especially in relation to AI and machine learning.

✨Showcase Your Analytical Skills

Prepare examples of how you've tackled complex data problems in previous roles. Highlight your ability to create visualisations and communicate insights effectively, as this is crucial for the Data Analyst role.

✨Understand AI Trends

Stay updated on the latest trends in AI and analytics. Be prepared to discuss how these trends can impact business decisions and how you can leverage them in your role. This shows your commercial awareness and adaptability.

✨Practice Your Storytelling

Work on presenting complex data in a simple, compelling narrative. Use examples from your experience where you've turned data into actionable insights, and practice using visualisation tools to enhance your storytelling.

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