Job Title: Senior BI Analyst Location: Hybrid - 1 day per week in London Salary: £70k bonus share options Are you interested in joining an Insurtech Unicorn Shaping the Future of Insurance? Our client is a fast scaling Insurtech Unicorn that's revolutionising the insurance space through technology, data, and innovation. With millions in revenue already generated through cutting edge digital products and brand new initiatives in the pipeline, this is the perfect opportunity for a results driven, commercially sharp BI professional ready to take on real impact. You'll be part of a growing data team and play a crucial role in building out the company's BI capability. Working with modern tooling like Looker, Snowflake, and dbt, you'll help define what great looks like for analytics at scale in a regulated, high growth environment. Why Apply? Shape the future of BI in a scale up that's disrupting the industry. Collaborate with product, marketing, ops, and finance teams to deliver high impact analysis. Work with a supportive team and cutting edge tech in a business that's backed to grow. This is not just a reporting role, it's your chance to influence decisions, define metrics, and build scalable BI. Responsibilities: Build, maintain, and optimise dashboards to empower self serve analytics. Write robust, production level SQL in Snowflake and contribute to data transformations in dbt. Define and document core business metrics, enabling consistent reporting across the business. Collaborate with analytics engineers to build performant data models that support decision making. Work closely with stakeholders to turn raw data into actionable insights. Identify opportunities to streamline and scale analytics processes, tooling, and data governance. Requirements: Solid experience in a BI Analyst or Engineering role. Expert level SQL and strong understanding of modern data architecture. Hands on experience with tools like Looker, Tableau and Power BI Skilled in translating business questions into data driven solutions. Familiarity with semantic layers and self serve BI environments. Collaborative, proactive mindset with a passion for improving data culture across teams. We're proud to be an equal opportunities employer and welcome applicants from all backgrounds.