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.
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Skills Required
- 3+ years' experience in data management, analysis, or customer-facing data roles
- Strong analytical skills with experience handling large or complex datasets
- Advanced SQL capabilities
- 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)
- Experience using AI/automation tools to enhance analysis and efficiency
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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