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About the Role
Doodle is seeking an Analytics Engineer to co-own the analytics layer that powers decisions across the company. You will transform raw product data into trusted, scalable datasets for experimentation, reporting, and product innovation, working with dbt, Amazon Redshift, Athena, Power BI, Hex, and internal AI tools. This role involves close collaboration with various departments and a focus on leveraging AI for faster modeling, testing, and documentation.
Responsibilities
- Design, build, and maintain scalable analytics data models in dbt, following analytics engineering best practices.
- Build reliable transformations from raw product data to business-ready datasets, ensuring testing, validation, and documentation across the analytics layer.
- Define, document, and maintain trusted business metrics used across the company, ensuring alignment across teams.
- Evolve a scalable semantic layer to enable consistent reporting and self-service analytics.
- Partner with Product and Growth Managers on A/B tests, funnels, retention, and customer insights through event modeling and instrumentation, and assist teams in interpreting results.
- Provide reliable measurement frameworks for product launches and feature rollouts from day one.
- Build dashboards and reports in Power BI, Hex, or internal AI tools, and coach stakeholders on self-service analytics.
- Build AI-enabled analytics workflows and assist teams in adopting AI for data-related tasks.
Requirements
- Strong analytics engineering fundamentals combined with a product and business mindset.
- Honesty about strengths, gaps, and learning progress.
- Strong, hands-on experience building analytics data models with dbt or a similar transformation framework.
- Good grasp of dimensional modeling.
- Advanced SQL skills and 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 organization.
- Ability to explain technical concepts to both technical and non-technical audiences.
- Ability to translate data into recommendations for stakeholders.
- Must be based in and have the right to work in the country where the role is advertised.
- Experience building semantic layers or self-service analytics platforms (Nice to have).
- Good Python skills for data processing and automation, e.g., with pandas (Nice to have).
- Familiarity with workflow orchestration tools such as Airflow and experience with Athena (Nice to have).
- Experience with tools like Google Analytics 4, GrowthBook, or Avo (Nice to have).
- Experience working in a modern B2B SaaS environment (Nice to have).
Skills
- dbt
- Amazon Redshift
- Athena
- Power BI
- Hex
- AI coding tools
- Claude
- Dimensional modelling
- SQL
- Product analytics
- Experimentation frameworks
- Python
- Pandas
- Airflow
- Google Analytics 4
- GrowthBook
- Avo
Location
- Country where role is advertised
Work Type
- Full-time
Experience Level
- Mid-level
About the Company
- Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration.
- We are building the future of scheduling and productivity.
- Trusted data is one of our most valuable products, essential for product decisions, experiments, customer insights, and business metrics.
- We offer a culture of trust, valuing curiosity, autonomy, and a balance that respects your time.
Equal Opportunity
- At Doodle, we’re committed to an environment of mutual trust and respect, where equal employment opportunities are available to all applicants and teammates without regard to age, race, ethnic origin, colour, disability, religion or belief, gender, gender identity or sexual orientation.
- Diversity and inclusion are of utmost importance to us.
- We’re committed to building a team that represents a variety of backgrounds, perspectives and skills.
- The more inclusive we are, the better our work and our products will be.