Sr. Analyst, Marketing Analytics

What you'll do: 

As a key member of the Analytics team, the Sr. Analyst – Marketing Analytics will drive insights that help optimize our customer acquisition strategies, increase conversion efficiency, and deepen our understanding of user behavior across the marketing funnel. You’ll collaborate closely with marketing, product, and data engineering teams to design and execute analyses that influence decision-making across channels. 

In this role you will: 

• Partner with marketing and product teams to understand business goals and deliver actionable insights that improve conversion rates, optimize campaigns, and drive growth 
• Analyze performance across digital marketing channels, customer cohorts, and lifecycle stages to identify trends, opportunities, and areas for optimization 
• Build and maintain dashboards that track KPIs across the user journey — including CAC, LTV, ROAS, conversion funnels, and channel performance 
• Evaluate A/B tests and other experiments to inform decisions around messaging, landing page design, onboarding flows, and more 
• Leverage segmentation and behavioral analysis to understand drivers of user engagement, churn, and long-term value 
• Collaborate with Data Engineering to ensure data accuracy and enable reliable reporting and analytics infrastructure 
• Present insights to leadership and cross-functional stakeholders in a clear, concise, and persuasive manner 

What you'll need: 

• 4+ years of experience in an analytics role supporting marketing or growth teams 
• Deep understanding of performance marketing, user funnels, and customer behavior metrics such as CAC, LTV, ROAS, and churn 
• Strong SQL skills and experience working with large, complex data sets 
• Proficiency with BI tools like Looker, Tableau, or Power BI 
• Experience with A/B testing, experimentation frameworks, and interpreting results 
• Excellent communication skills and ability to translate data into business decisions 
• Strong attention to detail, intellectual curiosity, and a problem-solving mindset 
• Bachelor’s degree in a quantitative field such as Statistics, Economics, Mathematics, or related discipline 

Bonus points for: 

• Experience with statistical modeling or predictive analytics (e.g., regression, clustering, LTV models) 
• Familiarity with dbt or modern data stacks (Snowflake, Fivetran, etc.) 
• Experience with LaunchDarkly or Optimizely 
• Experience working in a fintech, trading, or high-growth tech environment 

Compensation: 

The salary range for this role will begin at $97,500.00 USD. In addition, this position will also receive an annual target bonus of 10%. 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. *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Virginia, Washington, Washington D.C., and Wisconsin.

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