Analytics Engineer
ArineFull Time
Senior (5 to 8 years)
Candidates should possess strong SQL skills and experience with dbt for data modeling and project infrastructure. They must be able to collaborate effectively with data analysts, data scientists, and upstream data engineering partners, and have experience building comprehensive documentation for data models. Proven ability to monitor, troubleshoot, and enhance data quality is essential, as is experience providing mentorship on data best practices. The role requires solving complex, loosely scoped problems in ambiguous domains and ensuring critical business metrics are supported by well-documented, performant dbt models.
The Senior Analytics Engineer will develop and maintain dbt-based data models and project infrastructure to support key business metrics, ensuring scalability and reliability. They will collaborate with cross-functional partners to define and deliver shared goals, translating stakeholder requirements into impactful data solutions. Responsibilities include building accessible documentation for data models, leading initiatives to monitor and enhance data quality, and providing mentorship on SQL, dbt, and data modeling best practices. The role involves solving complex problems and ensuring critical business metrics are supported by well-documented, performant dbt models to enable consistent decision-making.
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