Job description

Disclaimer: Please be advised that the most accurate and up-to-date information about our open roles—including job descriptions, compensation, and benefits—can only be guaranteed on our official job board. For the latest listings and details, please visit: job-boards.greenhouse.io . JOIN US ON OUR MISSION TO BECOME THE #1 RETAIL TRADING PLATFORM IN THE WORLD Welcome to the dynamic world of NinjaTrader! 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, NinjaTrader 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, NinjaTrader 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 NinjaTrader? 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 NinjaTrader'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 MarTech 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 BigQuery, Snowflake, Fivetran, or Paradime Strong grasp of marketing measurement, including attribution logic and metrics like CAC, LTV, and ROAS, with the instinct to keep them MECE Excellent communication and the ability to set standards others want to follow Comfort operating in a fast-moving, ambiguous, and scaling environment Bonus Points for: Marketing mix modeling (MMM), incrementality, and geo-testing experience Background in fintech, trading, or high-growth consumer tech Experience setting technical standards for or mentoring other analysts or engineers Proficiency with BI tooling, Looker preferred Compensation: The salary range for this role will be $135,000.00 - $185,000.00 USD. In addition, this position will also receive an annual target bonus of 12%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%). Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 18 days per year (some positions may qualify for more) plus seven paid holidays. Location: This role is based in Chicago, IL. We are not open to remote candidates for this role. Hybrid: For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer: 20 additional flex remote days annually 5 Company Wide Office-Optional weeks tied to major holidays Our Core Benefits Include: Generous PTO 7 Paid Holidays Annually + 5 Conditional Holidays Annually 1 Service Day Annually 401k with 3.5% Company Match Paid Parental Bonding Leave Health, Vision, Dental Coverage Life and Disability Insurance Covered 100% by NinjaTrader We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Requirements

Must-haves

JOIN US ON OUR MISSION TO BECOME THE #1 RETAIL TRADING PLATFORM IN THE WORLD
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:
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 MarTech hire on the data behind the stack
Scale the model layer cleanly as new business units and geographies come online
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 BigQuery, Snowflake, Fivetran, or Paradime
Strong grasp of marketing measurement, including attribution logic and metrics like CAC, LTV, and ROAS, with the instinct to keep them MECE
Excellent communication and the ability to set standards others want to follow
Comfort operating in a fast-moving, ambiguous, and scaling environment
Marketing mix modeling (MMM), incrementality, and geo-testing experience
Background in fintech, trading, or high-growth consumer tech
Experience setting technical standards for or mentoring other analysts or engineers
For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:
20 additional flex remote days annually
5 Company Wide Office-Optional weeks tied to major holidays

Nice-to-haves

Proficiency with BI tooling, Looker preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

restaillmsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Professional Development