Analytics Engineer

• Design, build, and maintain scalable analytics data models in dbt
• Build reliable transformations from raw product data to business-ready datasets
• Implement testing, validation, and documentation across the analytics layer
• Define, document, and maintain trusted business metrics across the company
• Evolve a scalable semantic layer for consistent reporting and self-service analytics
• Partner with Product and Growth Managers on A/B tests, funnels, retention, and customer insights
• Build measurement frameworks for product launches and feature rollouts
• Build dashboards and reports in Power BI, Hex, or internal AI tools
• Coach stakeholders to find answers through self-service analytics
• Build AI-enabled analytics workflows and support company-wide AI adoption
• Collaborate with Product, Engineering, Sales, Marketing, Finance, and Leadership

• Strong, hands-on experience building analytics data models with dbt or a similar transformation framework
• Good grasp of dimensional modelling
• Advanced SQL skills
• Experience working 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, including setting up MCPs and using AI coding tools
• Experience driving AI adoption in a team or organisation
• Ability to explain technical concepts to technical and non-technical people and turn data into recommendations
• Based in, and having the right to work in, the country where the role is advertised
• No visa sponsorship or relocation support available
• Nice to have: experience building semantic layers or self-service analytics platforms
• Nice to have: good Python skills for data processing and automation, such as pandas
• Nice to have: familiarity with Airflow and experience with Athena
• Nice to have: experience with Google Analytics 4, GrowthBook, or Avo
• Nice to have: experience in a modern B2B SaaS environment

• AI and agentic tools provided
• Culture of trust, curiosity, and autonomy
• Work-life balance that respects employees' time
• Equal employment opportunities and commitment to diversity and inclusion