Data Analyst

Data Analyst

6 months

Hybrid – 1-2 Days per week on site in London

(Apply online only) per day (Inside IR35)

The selected candidate MUST HAVE experience in London Markets

Key Skills & Experience

• Draft the scope for the data and analytics workstream with understanding of all end user requirements and KPIs
• Develop BRDs, data mapping specifications, refined PBIs with clear articulation of user stories and acceptance criteria for data modellers and data engineers
• Analyse delegated authority data source through profiling, exploratory queries including quality validation to support medallion layer transformations in data and analytics platform
• Ensures all quality criteria for every requirement and evaluates according to importance and/or stability.
• Undertake through analysis of existing delegated authority reports and extracts, understanding sources, transformations and logic for reuse while identifying scope for new requirements and data specifications.
• Collaborate with business stakeholders, data engineers, data modellers, and data architects to ensure mapping logic meets analytics, regulatory and data governance requirements

Experience required

• Experience as a Business/System/Data analyst delivering data projects for P&C, Speciality insurance projects with exposure to Lloyds/London Market and Syndicate data structures is required.
• Domain knowledge of Delegated authority, mainly working on VIPR integration, can be advantageous
• Excellent communication for cross-functional teams and building working relationships with all key stakeholders is essential.
• Proficiency in Databricks medallion architecture and understanding of logical and physical modelling
• Proven ability to document requirements and produce detailed mapping and data transformation specifications
• Understanding of MGA and Lloyd’s Market operating models, including their unique challenges and requirements
• Strong understanding of GDPR, Solvency II, and Lloyds regulatory and reporting requirements.
• Functional knowledge of cloud data platforms (Azure Data Factory, Databricks ) can be advantageous

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