Analytics Engineer - Supply Chain Data Architect

Gopuff; Philadelphia (Philadelphia County); Remote; USD 100.000 - 125.000; Vollzeit

Benefits dieser Stelle

Medical Insurance

401(k) Retirement Savings Plan

HSA or FSA eligibility

Disability Insurance

Fitness Reimbursement Program

Employee discount & FAM Membership

Flexible PTO

Group Life Insurance

EAP through AllOne Health

Zusammenfassung

Gopuff is seeking an Analytics Engineer to bridge data and decision-making for Supply Chain, Merchandising, Marketing, and CRM analytics. You’ll own modeling and dashboards powering stock, allocation, promotions, and channel reporting.

You’ll collaborate with Supply Chain and Merchandising teams, ensure data quality, and enable self-serve insights across the organization. Experience with dbt and modern data warehousing is highly valued.

Qualifikationen

• Bachelor’s degree in a quantitative field or equivalent experience.
• 3+ years building data models and integrating disparate data sources.
• Expert SQL skills and efficient large-dataset querying.
• 1+ year building/recently maintaining Looker dashboards or similar BI tools.
• Experience with dbt and data warehousing concepts is a plus.

Aufgaben

• Design, build, and maintain production data models for supply chain and merchandising decisions.
• Be the go-to data expert for data warehouse and processing layers.
• Partner with cross-functional teams to translate questions into durable models and self-serve tooling.
• Own data integrity, transformation logic, and data access performance.

Kenntnisse

SQL

dbt

Looker

Data modeling

ETL/ELT

Ausbildung

Bachelor's degree

Tools

Snowflake

Redshift

Azure

Jobbeschreibung

Gopuff is seeking an Analytics Engineer to bridge data and decision-making for Supply Chain, Merchandising, Marketing, and CRM analytics. You’ll own modeling and dashboards powering stock, allocation, promotions, and channel reporting.

You’ll collaborate with Supply Chain and Merchandising teams, ensure data quality, and enable self-serve insights across the organization. Experience with dbt and modern data warehousing is highly valued.