MI and Insight Analyst

Our client is seeking an operationally focused Business MI & Insight Analyst to join their Group Data, MI & Analytics function, aligned closely with the UK Retail Office. This role plays a key part in delivering meaningful insight across broking performance, operational efficiency, customer outcomes, and customer experience, supporting performance improvement, Consumer Duty obligations, and ongoing change initiatives.Role Context

The role sits within a central operations and data environment that provides a single view of operational performance across UK Retail. The successful candidate will work closely with Broking Operations, Sales, Proposition, Centres of Excellence, Customer Experience, and platform teams to ensure insight is accurate, actionable, and operationally relevant.

Key Responsibilities

• Deliver timely analysis on broking performance, productivity, handling activity, and service quality.

• Identify operational risks, bottlenecks, and opportunities for improvement.

• Produce actionable insight on capacity, throughput, and quality across operational teams.

• Deliver Customer Outcomes and Consumer Duty MI, highlighting trends and required actions.

• Produce and maintain dashboards that meet operational needs and data governance standards.

• Extract, transform, and analyse data using SQL, aligned to group data models.

• Support measurement of change initiatives and track benefit realisation.

• Communicate insights clearly to operational teams and senior stakeholders, translating analysis into practical actions.Key Skills & Experience

• Experience within insurance operations, broking, or customer service environments.

• Strong SQL capability and experience working with structured data sets.

• Working knowledge of Acturis or similar broking platforms.

• Experience building and interpreting Power BI dashboards.

• Ability to translate data into actionable operational insight.

Desirable:

• Experience with cloud-based data platforms such as Microsoft Fabric.

• Python experience for data analysis or automation.

• Exposure to Lean, process improvement, or operational excellence methodologies.Personal Attributes

• Strong analytical mindset with the ability to identify trends and risks.

• Practical problem-solver who can recommend clear solutions.

• Confident communicator, able to influence operational and senior stakeholders.

• Customer-focused, ensuring insight drives better outcomes.

• High attention to detail and commitment to data accuracy.