Analytics Engineer: Build Trusted Data & AI Insights

Doodle; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

Doodle is seeking an Analytics Engineer who co-owns the analytics layer and turns raw product data into trusted, scalable datasets. You’ll collaborate with Product, Engineering, Sales, Marketing, Finance and Leadership to define metrics, enable self-service analytics and drive data-informed decisions.

You’ll leverage dbt on Redshift with Athena, build semantic layers, and empower teams to run experiments and read results with confidence. AI tooling and proactive data governance are emphasized.

Qualifications

• Strong, hands-on experience building analytics data models with dbt or a similar transformation framework.
• Advanced SQL skills and experience with large analytical datasets.
• Experience with cloud data warehouses such as Amazon Redshift.
• Experience building dashboards and self-service reports in Power BI or similar BI tools.
• Familiarity with experimentation frameworks and product analytics.
• Hands-on experience with Claude or similar AI assistants and AI coding tools.
• You can explain technical concepts to technical and non-technical people and turn data into recommendations.
• You are based in the country where this role is advertised and can work there.

Responsibilities

• Model the Data: Design, build and maintain scalable analytics data models in dbt, following analytics engineering best practices.
• Own Data Quality: Build reliable transformations from raw product data to business-ready datasets, with testing, validation and documentation across the analytics layer.
• Define the Metrics: Define, document and maintain the trusted business metrics used across the company, and keep definitions aligned across teams.
• Build the Semantic Layer: Evolve a scalable semantic layer that makes consistent reporting and self-service analytics possible.
• Power Experimentation: Partner with Product and Growth Managers on AB tests, funnels, retention and customer insights, through high-quality event modelling and instrumentation.
• Measure What Matters: Give product launches and feature rollouts reliable measurement frameworks from day one.
• Enable Self-Service: Build dashboards and reports in Power BI, Hex or our internal AI tools, and coach stakeholders so they can find their own answers.
• Lead with AI: Build AI-enabled analytics workflows and help teams across Doodle adopt AI in how they work with data.

Skills

dbt modeling

SQL

Product analytics

AI tools

Communication

Right to work in UK

Tools

dbt

Redshift

Athena

Power BI

Hex

Claude

Job description

Doodle is seeking an Analytics Engineer who co-owns the analytics layer and turns raw product data into trusted, scalable datasets. You’ll collaborate with Product, Engineering, Sales, Marketing, Finance and Leadership to define metrics, enable self-service analytics and drive data-informed decisions.

You’ll leverage dbt on Redshift with Athena, build semantic layers, and empower teams to run experiments and read results with confidence. AI tooling and proactive data governance are emphasized.