RELX
Data Analyst II

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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.
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.


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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
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