Senior Data Analyst

LexisNexis; Greater London; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Generous holiday allowance

Private medical benefits

Access to learning and development resources

Flexible hours

Employee Assistance Programme

Job summary

LexisNexis is seeking a Senior Data Analyst to lead high-complexity analytics projects. In this role, you will partner with stakeholders to clarify business problems and provide data-driven insights. The position requires a strong background in analytics and proficiency in SQL and Python.

Benefits include generous holiday allowance, private medical benefits, and a competitive pension scheme. Join LexisNexis and contribute to impactful decision-making through advanced data analytics.

Qualifications

• Significant experience in analytics, reporting, or data science-adjacent roles.
• Experience with data visualization tools such as Tableau and/or Power BI.
• Familiarity with advanced analytics/data platforms.

Responsibilities

• Partner with stakeholders to understand business needs and identify relevant analyses.
• Prepare and transform data using advanced techniques.
• Lead and execute analytics projects independently.

Skills

SQL

Python

Data Visualization (Tableau, Power BI)

Statistical Analysis

Project Execution

Education

Bachelor’s or Master’s degree in Data Analytics, Data Science, or Mathematics

Tools

Databricks

Job description

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

The senior data analyst consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data‑driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst I independently leads high‑complexity analytics projects and mentors junior analysts.

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 (e.g., drafting analyses, summarizing findings, generating code/queries, documenting work) while maintaining accountability for accuracy and quality.
• Develops data products that meets the data consumer where they are in their data literacy journey (e.g. chatbot/genie for metrics questions, reusable dashboards).

Requirements

• Bachelor’s or Master’s degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience.
• Significant experience in analytics, reporting, or data science‑adjacent roles.
• Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data).
• Experience applying intermediate statistics to business problems.
• Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis.
• Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences.
• Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent).
• Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers.
• Ability to craft effective prompts, iterate toward higher‑quality outputs, and incorporate domain context and constraints.

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
• 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.