✨ About The Role
- The Analytics Engineer will work within interdisciplinary teams to deliver product features and enable product analytics.
- The role requires a deep understanding of how data is generated and ensuring that product changes are accurately reflected in data models.
- Candidates will juggle multiple projects and priorities in a fast-paced environment while meeting deadlines.
- Continuous improvement of processes and technical implementation of models is expected as part of the role.
- The position involves building data models with the end consumer in mind, ensuring they are useful for analysts and accountants.
âš¡ Requirements
- The ideal candidate has over 4 years of experience working in analytics within a fast-paced environment.
- Proficiency in SQL is essential, along with at least 3 years of experience with SQL templating engines like DBT.
- A detail-oriented mindset is crucial, as the role involves managing complex data problems and ensuring accuracy in data models.
- Strong communication skills are necessary to effectively collaborate with both technical and non-technical teams.
- Experience in automated testing and test-driven development is highly valued, as it is seen as key to scaling processes.