Data Insights Analyst II – Insurance Risk & Quality

Relx Plc; United Kingdom; Remote; GBP 40,000 - 60,000; Full time

Job summary

Relx Plc is seeking a Data Analyst II in the United Kingdom to transform complex data into actionable insights across the insurance lifecycle. You will work with diverse stakeholders, validate data quality, and develop queries to support research and reporting.

The role emphasizes automation, data onboarding, and continuous improvement. The ideal candidate has 3+ years in data roles, strong SQL and Power BI skills, and familiarity with modern data platforms and APIs.

Qualifications

• 3+ years’ experience in data management, analysis, or customer-facing data roles.
• Advanced SQL and Power BI reporting capabilities.
• Exposure to APIs, data integration formats, and modern data platforms (e.g., Azure).

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

Analytical skills

Data interpretation

Stakeholder communication

Root-cause analysis

AI/automation awareness

Data quality

Tools

SQL

Power BI

Azure

APIs

Job description

Relx Plc is seeking a Data Analyst II in the United Kingdom to transform complex data into actionable insights across the insurance lifecycle. You will work with diverse stakeholders, validate data quality, and develop queries to support research and reporting.

The role emphasizes automation, data onboarding, and continuous improvement. The ideal candidate has 3+ years in data roles, strong SQL and Power BI skills, and familiarity with modern data platforms and APIs.