At a Glance
- Tasks: Transform complex data into insights that drive better decisions in the insurance sector.
- Company: Join LexisNexis Risk Solutions, a leader in innovative risk assessment.
- Benefits: Enjoy competitive salary, wellness benefits, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by improving data quality and driving efficiency with modern tools.
- Qualifications: 3+ years in data management, strong analytical skills, and advanced SQL knowledge.
The predicted salary is between 37800 - 46200 £ per year.
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.
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 our 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
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
Data Analyst II in London employer: RELX
RELX is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee wellbeing, generous benefits, and opportunities for professional growth, you will be empowered to influence strategic decisions across multiple business segments while enjoying a healthy work/life balance. Join us to be part of a forward-thinking team that values your contributions and fosters a culture of shared success.
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We think you need these skills to ace Data Analyst II in London
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