Analytics Engineer role transforming and modeling data using SQL, Python, and dbt to support analytics and reporting initiatives. Requires 2-3 years experience in analytics engineering or data transformation.
Responsibilities
Perform data transformation and data modeling to support analytics and reporting initiatives. Clean, structure, and model ingredient and product data for downstream analytics and consumer-facing systems. Build and maintain data transformation models using dbt. Develop and maintain SQL-based transformation logic within the data platform. Collaborate with a Senior Analytics Engineer on allergen reporting initiatives. Ensure data quality through validation, testing, and comparison checks. Enable reliable data consumption for analytics teams and consumer-facing applications.
Requirements
Required Qualifications: 2–3 years of experience in Analytics Engineering, Data Analytics, or Data Transformation roles. Strong SQL skills (critical requirement). Strong Python experience. Experience with data modeling and transformation workflows. Experience working within data or analytics teams and modern data environments. Ability to work with large datasets and multiple data sources. Nice to Have: Experience with dbt (Data Build Tool). Experience supporting analytics or reporting platforms.
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