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Permanent

Senior Analytics Engineer

City of London
money-bag £70,000 per annum
A221F3F63C39AE9583C31440436F5A20
Posted Yesterday

OverviewJob Title:

Senior Analytics Engineer

Location:

Hybrid

Salary:

c.£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 and dbt are a must)

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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