Data & Business Intelligence Analyst

Data & Business Intelligence Analyst | Insurance

Sanderson King is recruiting a Data & Business Intelligence Analyst on behalf of an insurance group.

This is an opportunity to shape how the business uses data - developing reporting, improving data quality and translating complex insurance information into clear insights that support commercial and operational decisions.

The role

Working closely with business leaders, cross-functional teams and an external BI partner, you will help develop and manage the organisation’s data models, reporting infrastructure and BI capabilities.

Key responsibilities include:

• Translating insurance entity relationships and business requirements into effective data schemas and models.
• Working with an external BI team to build a robust data warehouse and develop insightful Power BI reports and dashboards.
• Gathering reporting requirements and providing relevant reporting for different teams and user groups.
• Analysing datasets to identify trends, investigate root causes and highlight opportunities for improvement.
• Improving data quality, consistency and governance across data sources, ETL processes and reporting.
• Presenting findings and recommendations clearly to stakeholders at all levels.
• Supporting the development of the business’s longer-term BI strategy and roadmap.

About you

You will bring experience in data analysis or business intelligence, with a track record of turning complex information into practical business insights.

We are particularly interested in candidates with:

• Property & Casualty / general insurance experience - essential, including a sound understanding of insurance terminology and data relationships.
• Strong SQL skills and experience with Power BI or comparable reporting tools.
• Experience with data modelling, data warehousing and ETL processes.
• Strong analytical and problem-solving skills, with close attention to data accuracy.
• The ability to gather business requirements and communicate effectively with technical partners and non-technical stakeholders.
• An understanding of data governance, integrity and security.