Stott and May
Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Analytics Engineer for a retail client, offering a 6-month remote contract (full-time, 40 hours/week) at a competitive pay rate. Key skills include SQL, dbt, and experience with Snowflake or BigQuery.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
April 9, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Snowflake #"ETL (Extract #Transform #Load)" #Microsoft Power BI #SQL (Structured Query Language) #Data Quality #Forecasting #Databricks #BigQuery #Tableau #Redshift #Looker #Datasets #BI (Business Intelligence) #Airflow #dbt (data build tool) #Cloud
Role 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
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
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
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
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
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
