As a Data Analyst you will possess a good working knowledge of the London Market business and data fundamentals. Your primary responsibility will be to analyse, interpret and understand the data requirements which support the London Market process. Reporting to the Data Manager, and collaborating closely with our team of Business Analysts, you will work on several strategic projects to:
* Implement a new Microsoft Fabric based data platform.
* Support continual improvement of the existing platform.
* Support market modernisation initiatives, such as the Lloyd’s Blueprint 2 programme.
Main Responsibilities
* Data Analysis: To analyse and understand existing and new datasets from various sources used in the placement of risk in the London Market.
* BI & Analytics: To support the development of Business Intelligence and Analytics solutions working with data modellers, data engineers and BI developers.
* Data Quality: To implement and maintain a data quality framework and conduct data quality assessments.
* Data Standards: To ensure data complies with the relevant industry data standards (i.e. ACORD).
Skills & Knowledge
* Must have experience in working with Reporting, Analytical or Data Science projects.
* Must have exposure to the Microsoft data and analytics technologies such as Microsoft Fabric, Azure Databricks, Microsoft Synapse, Azure Data Factory, Azure SQL, PowerBI, etc.
* Any exposure to Data Quality, Data Lineage, Master Data, Apache Spark Python Notebooks solutions would be beneficial.
* Minimum 12 months’ experience in the insurance or IT industry – with a background in broking, operations, or underwriting data and/or market data standards (such as ACORD, etc.)
* Excellent communication skills to convey complex data findings to non-technical stakeholders.
* Problem Solving: Strong, logical investigative skills, to collaboratively develop solutions to specific business challenges.
* A working knowledge of JIRA/Confluence apps for work management would be beneficial.
Qualifications
* A Bachelor’s degree in a relevant field (e.g., Statistics, Mathematics, Computer Science) or relevant industry qualifications.
* Any CII or BCS qualifications is desirable or the ambition to study towards them.
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