Senior Analytics Engineer

Fruition Group; London; Hybrid; GBP 70,000; Full time

Benefits offered by this job

Bonus opportunities

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Work in a values-led team

Job summary

A leading Insurtech company in London is seeking an experienced Analytics Engineer to take ownership of scalable data models. You will work in a dynamic environment, collaborating with product, marketing, and operations teams to drive data-driven decision making. The role requires advanced SQL skills and familiarity with modern data stacks including Snowflake and Looker. Join us to make a significant impact on business strategy and growth.

Qualifications

• Solid experience in an Analytics Engineer or similar role within BI or Data.
• Ability to design, build and maintain data models.
• Comfortable working in fast-paced environments.

Responsibilities

• Design, build and maintain robust data models using dbt, Snowflake, and Looker.
• Translate business requirements into well-structured metrics.
• Enable self-serve analytics for stakeholders.

Skills

Advanced SQL skills

Experience with Snowflake

Hands-on experience with Looker or similar BI tools

Strong commercial acumen

Familiarity with version control (Git)

Python skills

Ability to work autonomously

Interest in AI to enhance productivity

Tools

dbt

Snowflake

Looker

Job description

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

Direct message the job poster from Fruition Group

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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