Data Analyst II

RELX; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

LexisNexis Risk Solutions in the UK is seeking a Data Engineer to analyse complex data and drive data quality across the insurance lifecycle. You will collaborate with stakeholders to gather requirements, validate data, and deliver actionable insights that inform business decisions.

The role requires 3+ years in data management/analysis, strong SQL, Power BI, and familiarity with modern data platforms. A proactive, detail-oriented mindset and ability to communicate with technical and

Qualifications

• 3+ years’ experience in data management, analysis, or customer-facing data roles.
• Strong analytical skills with experience handling large or complex datasets.
• Advanced SQL and Power BI reporting capabilities.
• Knowledge of data lifecycle processes (profiling, validation, reconciliation).
• Experience with root-cause analysis and data quality improvement.
• Strong communication and stakeholder engagement skills.
• Exposure to APIs, data integration formats, and modern data platforms (e.g., Azure) preferred.
• Experience using AI/automation tools to enhance analysis and efficiency, with a proactive and detail-oriented mindset.

Responsibilities

• Analyse data to support business decisions and clearly communicate findings.
• Collaborate with customers, data providers, and internal stakeholders to gather requirements and resolve issues.
• Perform data validation, profiling, reconciliation, and quality assessments.
• Investigate and resolve data issues using root-cause analysis and track remediation actions.
• Develop and modify queries (e.g., SQL) to support research and data quality checks.
• Present insights to both technical and non-technical audiences.
• Support data onboarding, workflow improvements, and operational efficiency initiatives (including automation/AI use).
• Identify process inefficiencies and contribute to optimisation, risk management, and change initiatives.

Skills

SQL

Power BI

Analytical

Data lifecycle

Root-cause analysis

Data quality

Communication

APIs

Azure

AI/Automation

Job description

Job Description

Are you passionate about transforming complex data into meaningful insights that drive better decisions?

Are you passionate about transforming complex data into meaningful insights that drive better decisions?

Would you like to work with innovative data solutions that help shape the future of insurance risk?

About The Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance. 1

About Our Team

The Data Engineering Team in the UK&I features 20 individuals but sits within a global Data Engineering team of over 400+ individuals. Data Management is currently a team of 2.5 team members but is expanding as out product offerings grow within the UK.

About The Role

In this role, you will analyse and interpret complex data to support business decisions and improve data quality across the insurance lifecycle. You’ll collaborate with a variety of stakeholders to deliver insights, resolve issues, and contribute to continuous improvement initiatives. This is an opportunity to combine analytical expertise with modern tools to drive efficiency and innovation.

Responsibilities

• Analyse data to support business decisions and clearly communicate findings
• Collaborate with customers, data providers, and internal stakeholders to gather requirements and resolve issues
• Perform data validation, profiling, reconciliation, and quality assessments
• Investigate and resolve data issues using root-cause analysis and track remediation actions
• Develop and modify queries (e.g., SQL) to support research and data quality checks
• Present insights to both technical and non-technical audiences
• Support data onboarding, workflow improvements, and operational efficiency initiatives (including automation/AI use)
• Identify process inefficiencies and contribute to optimisation, risk management, and change initiatives

Requirements

• 3+ years’ experience in data management, analysis, or customer-facing data roles
• Strong analytical skills with experience handling large or complex datasets
• Advanced SQL and Power BI reporting capabilities
• Knowledge of data lifecycle processes (profiling, validation, reconciliation)
• Experience with root-cause analysis and data quality improvement
• Strong communication and stakeholder engagement skills
• Exposure to APIs, data integration formats, and modern data platforms (e.g., Azure) preferred
• Experience using AI/automation tools to enhance analysis and efficiency, with a proactive and detail-oriented mindset

Risk benefit statement

Learn more about the LexisNexis Risk team and how we work here

We know your well-being and happiness are key to a long and successful career.

We are delighted to offer country specific benefits. Click here to access benefits specific to your location.