About this role

Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company.
Constantly seeking ways to improve our data infrastructure.
Provide self-service and training to the rest of the company and bring data accessibility to a new level.
Utilize AI tools to automate the development of DBT models and tests, significantly reducing delivery times for the ingestion of new data sources.

3+ years working as an Analytics Engineer
Excellent in SQL, ETL, Snowflake, and at least one language (ex. Python, Java)
Experienced with DBT or similar tools, assisted with an LLM.
Experienced in cleaning, aggregating, and validating data sets for analytical consumption
Self-starter who is capable of independently researching and designing solutions to a wide range of challenges of a rapidly-scaling business
Able to look beyond the immediate deliverable, find the underlying problem, and solve it
Passionate about constant learning and bringing best practices back to the team
Comfortable in a fast-paced environment, understanding that week-to-week priorities may shift as new business challenges emerge

Analytics Engineer II

Key skills