Analytics Engineer

Doodle

. Design, build, and maintain scalable analytics data models in dbt .

Posted 10/22/2026full-timeRemote • Germany, United Kingdom, SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable analytics data models using dbt, advanced SQL, and cloud data warehouses like Amazon Redshift. Capable of driving AI adoption and creating self-service analytics solutions while collaborating effectively across teams.

Highest-signal resume keywords

Analytics Data Model DevelopmentAdvanced SQL SkillsCloud Data Warehousing (Amazon Redshift)Power BI Dashboard CreationAI Adoption and Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics Data ModelsDimensional ModellingSQLData TransformationSelf-Service ReportingAI WorkflowsData Processing (Python)Experimentation FrameworksSemantic Layer DevelopmentLarge Analytical Datasets

Soft Skills

CommunicationCoachingCollaboration

Tools & Technologies

DbtPower BIClaudeAmazon RedshiftAirflowGoogle Analytics 4GrowthBookAvoHexInternal AI Tools

Industry Keywords

B2B SaaSProduct AnalyticsSelf-Service AnalyticsData-Driven Decision MakingCustomer Insights

Tech Stack

Tools & technologies

AirflowAmazon RedshiftCloudPandasPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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