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Key skills for this role
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:
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More from this employer
Chicago, USA
Chicago, USA
Chicago, USA
Chicago, USA
Chicago, USA
Chicago, USA
Chicago, USA
Chicago, USA
Chicago, USA
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.
NinjaTrader is a privately held futures trading platform and brokerage serving retail and professional futures traders.
Visit company websiteJobs and hiring trendsUSD 135000-185000 yearly / year
Full-time
Senior · 6+ years experience
Hybrid
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