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Analytics Engineer

Stott and May
Chicago, IL, United States
13 days ago
Apply on find.stottandmay.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$140,000.0
Working hours
Regular working hours
Job source
find.stottandmay.com

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Information Engineering Data Mart Python (Programming Language) Operational Databases SQL Databases Sql Optimization Snowflake Data Management

Job description

This is a hands-on senior IC role where you’ll build and own production data assets using Snowflake, dbt, SQL, and Python, while partnering with Finance, Supply Chain, Pricing, and Operations to deliver scalable analytics solutions.

You’ll:

  • 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)

Requirements

  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.stottandmay.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

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Building an anti-money laundering production architecture with Python

Stefan Donsa Stefan Donsa +1 · LIVE

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

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Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

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World Congress 2026 Europe • about 1 month ago

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LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

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World Congress 2021 • about 5 years ago

Data Science on Software Data

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World Congress 2023 • almost 3 years ago

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World Congress 2025 • 12 months ago

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