Senior Analytics Engineer

Role Overview

• Oversee the design, development and maintenance of analytics and reporting solutions to provide business insights.
• Collaborate closely with business users to document their data needs and ensure they have the necessary understanding to extract value from analytical capabilities.
• Use advanced analytical techniques to classify data and identify trends, leading communication of results to stakeholders.
• Provide mentoring to junior team members and contributes to the decisions and strategic direction of the Analytics Engineering function.

Requirements

• Strong understanding of analytics engineering principles, semantic/dimensional modelling and cloud-based data platforms.
• Significant hands-on development experience with Power BI, including DAX, tabular/semantic models and paginated reports.
• Experience optimising report and model performance, including tuning DAX calculations and data models, using tools such as Performance Analyzer, DAX Studio and VertiPaq Analyzer.
• Strong SQL skills for building and optimising data transformations at scale.
• Experience with Azure DevOps, including branching and release/deployment strategies; Git, CI/CD and DevOps Pipelines.
• Demonstrable experience supporting internal Analytics, BI and reporting functions in a commercial, cloud-hosted environment.
• Experience working in an Agile and Scrum environment, with proven ability to work effectively in cross-functional teams.
• Experience leveraging AI-assisted development tools and copilots to improve productivity and delivery outcomes is advantageous.
• Strong analytical and problem-solving skills with a continuous improvement mindset; sets and maintains development standards and drives efficiencies in the end-to-end delivery process.
• Good communication and presentation skills, with the ability to explain complex topics in an easy-to-understand manner for both technical and non-technical audiences, and translate ambiguous business needs into solutions.
• Excellent cross-functional team player, able to work with stakeholders at all levels and across all business functions.
• Familiarity of working with Tabular Editor is desirable.
• Hands-on Databricks experience, including building curated, well-modelled datasets on a medallion/Lakehouse architecture is advantageous.
• Familiarity with specialty (re)insurance or Lloyd’s market data such as bordereaux, delegated authority, underwriting and claims is advantageous.

Tech Stack

• Azure
• Cloud
• SQL

Benefits

• hybrid working
• competitive base salary
• non-contributory pension
• discretionary bonus
• insurances including health (family) and dental cover
• many other benefits to enhance financial, physical, social and psychological health