Senior Analytics Engineer, Commercial Intelligence

The Trade Desk

Denver (CO)

On-site

USD 103,000 - 189,000

Full time

11 days ago

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Job summary

The Trade Desk is seeking a Software Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems for Sales and Client Services. You will own the engineering lifecycle of intelligence systems from requirements through production, collaborating with Commercial Operations, Revenue Operations, Business Technology, and Finance.

You will work with Python, SQL, Snowflake, Tableau, and CI/CD tools, delivering scalable data pipelines and AI-assisted workflows to improve

Qualifications

  • 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations.

Responsibilities

  • Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk.
  • Design, build, and operate proactive insight pipelines translating recurring business needs into scalable architecture.
  • Integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach decision-makers.
  • Build and deploy tools, signals, and automated deliverables to help teams prioritize effort and drive impact.
  • Develop production-grade data assets and pipelines with reliable, explainable logic.

Skills

SQL
Python
Data pipelines
CI/CD
Communication

Tools

Snowflake
Tableau
Git/GitLab
LLM APIs
Docker
Jira
Confluence

Job description

The Trade Desk is seeking a Software Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems for Sales and Client Services. You will own the engineering lifecycle of intelligence systems from requirements through production, collaborating with Commercial Operations, Revenue Operations, Business Technology, and Finance.

You will work with Python, SQL, Snowflake, Tableau, and CI/CD tools, delivering scalable data pipelines and AI-assisted workflows to improve

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