Job Title: Senior Analytics Engineer
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 growing Insurtech scale up that's reshaping the insurance space with smart technology and a data first mindset. With strong commercial backing and ambitious growth plans, this is a prime opportunity for an experienced Analytics Engineer to take ownership of scalable data models that power high impact decision making across the business.
You'll join a small but high performing Analytics team responsible for everything from data modelling and transformation to stakeholder enablement. It's a hands on, commercially focused role where you'll work directly with product, marketing, and operations to define metrics, clean data, and build the foundations for a truly data driven culture.
Why Apply?
Build models that directly influence business strategy, growth, and efficiency
Work in a high growth environment with the autonomy to shape tools, processes, and outcomes
Join a values led team that champions innovation, collaboration, and curiosity
Responsibilities:
Design, build and maintain robust data models and transformations using dbt, Snowflake, and Looker
Own integrations from multiple third party sources (Salesforce, Segment, Amplitude, Google Ads)
Translate business requirements into well structured metrics and scalable data solutions
Enable self serve analytics and empower stakeholders to make smarter decisions
Maintain documentation of key modelling decisions and architectural frameworks
Contribute to the improvement of the wider data platform, operations, and governance
Ensure data quality, security, and reliability across models, pipelines, and data shares
Requirements:
Solid experience in an Analytics Engineer or similar role within BI or Data
Advanced SQL skills and experience working with modern data stacks (Snowflake, dbt)
Hands on experience with Looker or similar BI tools (Tableau, Power BI)
Strong commercial acumen - you understand both data and the business problems it's solving
Familiarity with version control (Git); Python skills are a bonus
Comfortable working autonomously in fast paced, unstructured environments
Interest in how AI can enhance productivity and streamline data work
We're proud to be an equal opportunities employer and welcome applicants from all backgrounds.
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