Marketing Analytics Engineer
NinjaTrader is a futures trading provider offering integrated desktop, web, and mobile trading platforms, futures brokerage services, single stock futures, market data, charting, simulation, education, and support. It serves retail, professional, new, and experienced active traders.
Funding history
Investors
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About NinjaTrader
NinjaTrader provides futures brokerage and proprietary trading-platform services through NinjaTrader Group, LLC and its affiliates. Its offerings include access to global futures markets, single stock futures, desktop, web, and mobile trading platforms, charting and analysis tools, market data, simulated trading, risk-management features, customization through a C# development framework, education, livestreams, and customer support. NinjaTrader Clearing, LLC is a CFTC-registered futures commission merchant and NFA member serving retail and professional traders.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect and own the foundational dbt model layer, establish standards for naming testing and documentation, and manage paid-media attribution across business units. You will identify data coverage gaps, prevent pipeline failures, and execute AI strategies for reporting quality assurance and knowledge tools. You will coach others on AI agents, partner on upstream data changes, support marketing technology data needs, and scale models as new business units and geographies launch.
Requirements
- 6+ years of experience in analytics engineering or data
- Hands-on expertise with dbt and data modeling
- Experience designing foundational or shared data-model layers
- Experience building automated QA or reporting agents LLM-driven workflows or internal knowledge tools
- Expert SQL skills
- Experience with large complex datasets and modern data stacks
- Knowledge of marketing measurement attribution CAC LTV and ROAS
- Strong communication skills
- Marketing mix modeling incrementality or geo-testing experience is a bonus
- Experience in fintech trading or high-growth consumer technology is a bonus
- Experience setting technical standards or mentoring analysts or engineers is a bonus
- Proficiency with BI tools especially Looker is a bonus
Responsibilities
- Architect and own the foundational dbt model layer
- Define and promote modeling standards for naming testing and documentation
- Manage the paid-media attribution model across business units
- Identify data coverage gaps and prevent pipeline failures
- Execute AI strategies for reporting data quality automation and knowledge tools
- Coach others on building and managing AI agents
- Partner on upstream data changes and marketing technology data needs
- Scale the model layer for new business units and geographies
Benefits
- Annual target bonus of 12%
- 401k plan with up to 3.5% company matching
- 18 days of annual paid time off
- Seven paid holidays
- Five conditional holidays
- One annual service day
- Paid parental bonding leave
- Health vision and dental coverage
- Life and disability insurance fully covered
- Hybrid schedule with remote work on Mondays and Fridays
- 20 additional flex remote days annually
- Five company-wide office-optional weeks tied to major holidays