Senior Analytics Engineer

This range is provided by Fruition Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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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.

Seniority level

• Seniority level
• Mid-Senior level

Employment type

• Employment type
• Full-time

Job function

• Job function
• Information Technology
• Industries
• Technology, Information and Internet

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