Analytics Engineer
Core
Build scalable data products and enable data-driven decision-making by bridging data engineering and analytics through semantic layers and robust pipelines.
Role type
Analytics Engineer
Builds
Scalable data products, analytics-ready data models, semantic layers, and reliable datasets
Domain
Pet wellness / Nutrition / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, Airflow, Python, data modeling, modern data warehouses (Snowflake/BigQuery), BI tools (Looker/Tableau/Omni), cross-functional collaboration
Preferred skills
AI tools usage, fast-paced startup environment experience
Technologies
dbt, Airflow, Python, Snowflake, BigQuery, Looker, Tableau, Omni
Responsibilities
Design and implement analytics-ready data models; Build and maintain robust, scalable data pipelines; Develop and optimize semantic layers and metrics definitions; Ensure data quality, reliability, and performance across analytics workflows
Seniority
Mid-level, hands-on IC