Marketing Analytics Engineer Chicago, IL

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JOIN US ON OUR MISSION TO BECOME THE #1 RETAIL TRADING PLATFORM IN THE WORLD

Welcome to the dynamic world of Ninja Trader! As an industry-leading trading platform and futures broker, we're empowering traders to take control of their financial destiny. How do we do it? We provide cutting-edge products and services that enhance the trading journey. Whether a seasoned pro or just starting out, Ninja Trader equips traders with award-winning software and brokerage services to navigate the world's leading financial markets with confidence.

Our growth story is nothing short of exhilarating. Since 2003, Ninja Trader has been dedicated to understanding and supporting traders on their journey toward trading triumph. Through those efforts, our user base has grown to over 2 million users and we have become the number one rated futures brokerage worldwide.

But we're not stopping there. We're constantly evolving, pushing boundaries, and modernizing the futures industry. Our commitment to innovation means users will always have access to dynamic tools, real-time support, and a community of like-minded traders.

So, why work at Ninja Trader? Here, you're not just part of a team; you're part of a movement. We empower employees to reach new heights in their careers by providing a dynamic culture focused on social connection, professional development, and employee recognition initiatives. Sounds too good to be true? Take it from our employees.

Join us as we redefine what's possible in trading, advocate for our customers, and continue our journey toward becoming the world's top retail-focused trading platform in the world.

What you’ll do:

The Marketing Analytics team turns Ninja Trader's data into the decisions that grow our business — how we acquire traders, where we invest, and how we measure what works. As our Marketing Analytics Engineer, you'll be the senior technical anchor for how that team models data. You'll own and architect the foundational, shared layer of our dbt models — the well-designed core the rest of the team builds on — and you'll set the AI strategy that makes the whole function faster and smarter.

This is a hands-on senior individual contributor role: you lead through architecture, standards, and the quality of what you build.

In this role you will:

• Architect and own the foundational, MECE core model layer in dbt that the rest of the team builds on top of
• Define and evangelize the modeling standards the team builds by, including naming, testing, documentation, and where business logic lives
• Own the paid-media attribution model end to end, keeping it accurate and cleanly separated across business units so nothing double-counts
• Prevent data leaks and pipeline breakage, catching coverage gaps before they surface late and erode trust in the numbers
• Set and execute the team's AI strategy across reporting and data-QA automation, agentic and LLM-driven workflows, and self-serve knowledge tools
• Coach the team on building and managing AI agents so an AI-driven way of working becomes standard practice
• Partner with the central Data team on changes that touch upstream sources, and support the Mar Tech hire on the data behind the stack
• Scale the model layer cleanly as new business units and geographies come online

What you’ll need:

• 6+ years in analytics engineering or data, including a track record of leading the design of a data-model layer
• Deep, hands-on dbt and data-modeling expertise, with experience building a foundational or shared layer that other people built on top of
• Demonstrated ability to build with AI, not just use it, such as automated QA/reporting agents, LLM-driven workflows, or internal knowledge tooling
• Expert SQL and experience with large, complex datasets and modern data stacks such as Big Query, Snowflake, Fivetran, or Paradime
• Strong grasp of marketing measurement, including attribution logic and…