Marketing Analytics Engineer

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Welcome to the dynamic world of NinjaTrader! As an industry-leading trading platform and futures broker were 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 worlds 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 were not stopping there. Were 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 youre not just part of a team; youre 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 trueTake it from our employees.

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

What youll do:

The Marketing Analytics team turns NinjaTraders 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 youll be the senior technical anchor for how that team models data. Youll own and architect the foundational shared layer of our dbt models the well-designed core the rest of the team builds on and youll 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 teams 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 youll 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 $135000.00 - $185000.00 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 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.