We’re looking for a Mid-Level BI Engineer to join a growing retail/ecommerce organization. This is a hands-on data role focused on building and improving the infrastructure behind reporting, rather than simply creating dashboards.
What You’ll Do:
- Develop and optimize data transformations using SQL and Snowflake
- Build and maintain Looker/LookML models, explores, and semantic layers
- Improve data quality, governance, performance, and documentation
- Integrate data across ecommerce, ERP, WMS, marketing, and fulfillment systems
- Partner with Finance, Merchandising, Operations, and Marketing on reporting needs
- Help maintain clean, reliable data pipelines from source systems through reporting
Requirements
- 5+ years of BI/Analytics Engineering experience
- 4+ years of advanced SQL, ideally within Snowflake
- Strong Looker/LookML experience, including models, explores, derived tables, and performance optimization
- Hands-on retail/ecommerce data experience, including orders, inventory, fulfillment, returns, and customer data
- Experience with Shopify or similar ecommerce platforms plus an ERP such as NetSuite, Dynamics, or SAP
- Experience with ELT/transformation tools such as Daasity, dbt, Fivetran, or Matillion
- Strong understanding of data governance, quality, and lineage
- Strong communication and ability to work independently
- Ability to work directly with Finance, Operations, and Merchandising teams to translate business needs into scalable data solutions
Nice to Have:
- Daasity and/or dbt
- Toolio, WMS, or merchandise planning systems
- GA4, Klaviyo, Yotpo, or Avalara
- Experience working independently or on a small, hands-on data team
- Experience supporting new data source and system integrations
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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