Business Intelligence Analyst

Overview

In this role you will deliver timely, insightful analysis and dashboards to support underwriting decisions and portfolio performance. You will transform data into actionable insights, monitor KPIs, and collaborate with stakeholders to drive data-driven improvements. You’ll build and maintain Power BI reports, write SQL queries, and ensure a trusted view of performance. You will explore AI-enabled approaches to enhance analytical delivery while upholding validation and governance.

Pay / Benefits

• flexible hybrid working
• annual 4Cs performance bonus
• life assurance and income protection
• matched pension contributions up to 10%
• mental wellbeing programme and support
• 25 days annual leave + bank holidays

Responsibilities

• Produce analysis, MI, reporting or BI outputs to inform decisions
• Monitor KPIs and profit drivers, identify risks and opportunities
• Develop and maintain Power BI dashboards and recurring reports
• Write structured SQL with clear documentation and validation
• Reconcile data sources and ensure a trusted performance view
• Translate business questions into analytical solutions with stakeholders
• Present complex data clearly using visual storytelling
• Contribute to data quality, processes and team standards
• Own tasks autonomously while aligning with team priorities
• Collaborate with analysts, data engineers, BI specialists and stakeholders

Key requirements

• Experience delivering analysis, MI, reporting or BI outputs
• Strong analytical and problem-solving skills with curiosity to challenge assumptions
• Experience writing SQL and working with structured data
• Experience using a BI or data visualization tool, preferably Power BI
• Ability to plan, structure analyses, validate outputs and work independently
• Understanding of business KPIs and link to outcomes
• Clear written and verbal communication to explain findings to non-technical audiences
• Good judgement on when to work independently, collaborate, or escalate risks
• Interest in using AI responsibly to improve analytics (beneficial but not essential)

• curiosity
• collaboration
• communication
• SQL
• Power BI
• data visualization

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