Analytics Engineer

Data Analytics Engineer Global Insurer London - Hybdrid working (2-3 days a week in the City of London) Salary: £65,000 + 15% annual bonus At DATAHEAD , we represent a global insurance powerhouse known for its commitment to resilience and sustainability. We are recruiting for a Data Analytics Engineer to be part of a revolutionary data transformation journey. This insurer is setting the gold standard in its sector, having recently launched a cutting-edge Data & Analytics Strategy aimed at delivering a 360° connected view of data across the company. Why Join? This company recently received recognition for its excellence in innovation and industry leadership, making it an exciting time to join its mission to become a top-quartile analytics organisation. Their data-driven focus enables not just improved decision-making, but also the resilience and sustainability needed to succeed in today's global market. The Role: As a Data Analytics Engineer , you will be at the heart of this transformation, turning data into actionable insights that enable smarter, faster decision-making. You’ll collaborate across functions, creating impactful visualisations and supporting the company’s ambition to provide a self-service data mining environment. You will help build a “single version of data truth,” ensuring data integrity and trust in reporting while working with the latest in Azure Cloud technology . If you’re excited by the idea of building an analytics infrastructure that helps drive growth and resilience, this is your chance to shine in a global organisation known for making a difference. Key Responsibilities: Design and deliver analytics infrastructure to support global strategy. Build user-friendly visualisations in Power BI that bring insights to life. Ensure consistency in analytical products and reports. Work with key Azure tools like Data Factory , Synapse , and Data Bricks . Collaborate with internal stakeholders to create data standards that drive business success. Support the shift towards a single version of data truth, driving adoption and best practices. What You Bring: Strong experience as a Senior Analytical Engineer, ideally within Financial Services or Insurance . Deep expertise in the Microsoft Azure stack : Power BI, Data Factory, Data Bricks, and Synapse. Advanced knowledge of SQL , DAX , and a foundational understanding of Python . Experience designing and implementing data models to drive insights. Strong communication skills and the ability to work in agile environments. Please apply!