We're seeking a Senior Analytics Engineer to support retail data initiatives and deliver clean, reliable datasets. The role involves building and maintaining data models, transforming retail data, and implementing data testing. The ideal candidate will have strong SQL and dbt experience.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Senior Analytics Engineer for a Retail Client
We’re seeking a contract Analytics Engineer to support retail data initiatives and help deliver clean, reliable datasets that power reporting, forecasting, and customer insights.
Responsibilities
- Build and maintain data models in the cloud warehouse using SQL and dbt
- Transform retail data (sales, inventory, ecommerce, customer) into analytics-ready datasets
- Develop and optimize ELT workflows and improve warehouse performance
- Define and maintain business metrics and KPIs
- Implement data testing and ensure data quality
- Partner with analytics and business teams to support dashboards and reporting
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Requirements
- Strong SQL and dbt experience
- Experience with Snowflake, BigQuery, Redshift, or Databricks
- Familiarity with orchestration tools (Airflow, Dagster)
- Experience supporting BI tools (Looker, Tableau, Power BI)
- Ability to ramp quickly and work in fast-paced environments
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Details
- Fully remote (must be NY-based)
- 40 hours/week (full-time contract)
- Initial 6-month contract with likely extension
- no C2C or third parties
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