Data Analyst II: Insightful Analytics for Insurance Risk

LexisNexis Special Services Inc.; United Kingdom; Remote; GBP 42,000 - 62,000; Full time

Job summary

LexisNexis Special Services Inc. in the United Kingdom seeks a Data Analyst II to transform complex data into actionable insights that drive informed decisions in the insurance risk domain.

You will analyse data across the insurance lifecycle, collaborate with stakeholders, and contribute to data quality improvements using SQL, Power BI, and modern data platforms. This role emphasizes automation, AI-enabled analytics, and strong communication with both technical and non-technical audiences.

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).
• Experience with root-cause analysis and data quality improvement.

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

Data analysis

SQL

Power BI

Stakeholder engagement

Data quality

Root-cause analysis

APIs

Azure

Automation/AI tools

Communication

Tools

Azure

Job description

LexisNexis Special Services Inc. in the United Kingdom seeks a Data Analyst II to transform complex data into actionable insights that drive informed decisions in the insurance risk domain.

You will analyse data across the insurance lifecycle, collaborate with stakeholders, and contribute to data quality improvements using SQL, Power BI, and modern data platforms. This role emphasizes automation, AI-enabled analytics, and strong communication with both technical and non-technical audiences.