Hybrid Senior Analytics Engineer — Snowflake, dbt & Python

Stott and May; Chicago (IL); Hybrid; USD 84,000 - 140,000; Full time

Job summary

Stott and May is seeking a Senior Analytics Engineer in Chicago, IL, hybrid role with three days onsite. You will build production data assets using Snowflake, dbt, SQL, and Python while partnering with Finance, Supply Chain, Pricing and Operations to deliver scalable analytics.

This hands-on role requires 5+ years in Analytics/Data Engineering, 3+ years dbt, and strong Snowflake, SQL, and Python skills. You will own analytics solutions end-to-end, mentor engineers, and help define best

Qualifications

• 5+ years in Analytics Engineering or Data Engineering.
• 3+ years of production dbt experience.
• Strong Snowflake, SQL, and Python skills.
• Experience owning analytics solutions end-to-end.
• Excellent stakeholder communication skills.

Responsibilities

• Build and own production dbt models and Snowflake data marts.
• Write advanced SQL and Python for automation, testing, and data quality.
• Modernize legacy reporting into a cloud-native analytics platform.
• Partner directly with business stakeholders to solve complex data challenges.
• Mentor engineers and help define analytics engineering best practices (no direct reports).

Skills

Analytics engineering

SQL

Python

Stakeholder communication

Tools

dbt

Snowflake

Job description

Stott and May is seeking a Senior Analytics Engineer in Chicago, IL, hybrid role with three days onsite. You will build production data assets using Snowflake, dbt, SQL, and Python while partnering with Finance, Supply Chain, Pricing and Operations to deliver scalable analytics.

This hands-on role requires 5+ years in Analytics/Data Engineering, 3+ years dbt, and strong Snowflake, SQL, and Python skills. You will own analytics solutions end-to-end, mentor engineers, and help define best