Analytics Engineer

Build the Data Foundation That Powers Every Product Decision

Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration. As we continue expanding our platform, trusted data has become one of our most valuable products. Every product decision, customer insight, experiment, and business metric depends on reliable, well modelled data.

You are more than an Analytics Engineer. You are responsible for building the trusted data foundation that enables better decisions across Doodle. Working closely with Product, Engineering, Marketing, Finance, and Leadership, you will transform raw product data into trusted, scalable datasets that power experimentation, reporting, and product innovation.

What You Will Do

As an Analytics Engineer, you will own the analytics platform that enables self service insights across Doodle.

Analytics Platform

Design, build, and maintain scalable analytics data models using dbt and modern data engineering practices.
Develop reliable transformation pipelines that convert raw product data into trusted, business ready datasets.
Own the performance, reliability, and continuous improvement of Doodle's analytics platform.

Data Modelling & Semantic Layer

Define, document, and maintain trusted business metrics used across the company.
Build and evolve a scalable semantic layer that enables consistent reporting and self service analytics.
Ensure data definitions remain accurate, accessible, and aligned across teams.

Data Quality & Governance

Own data quality, validation, testing, monitoring, and governance across the analytics stack.
Implement best practices for documentation, version control, CI, and automated testing.
Establish standards that improve data reliability, consistency, security, and trust.

Product Analytics & Experimentation

Partner with Product Managers and Analysts to enable experimentation, funnel analysis, retention analysis, and customer insights.
Support product launches by providing reliable measurement frameworks and trusted analytics.
Enable accurate A B testing through high quality event modelling and instrumentation.

Cross Functional Collaboration

Work closely with Product, Engineering, Data, Marketing, Finance, and Leadership teams.
Translate business questions into scalable data models, trusted metrics, and actionable insights.
Advise teams on analytics architecture, data modelling standards, and best practices.
Influence product and business decisions by making data reliable, accessible, and easy to use.

Our Ideal Candidate

We are looking for an Analytics Engineer who combines strong engineering fundamentals with a product mindset and a passion for building trusted, scalable analytics platforms.