Marketing Analytics Intern

Founded in 2017, NinjaHoldings works to give everyday Americans better access to financial services than traditional institutions typically provide. Through our CreditNinja and NinjaCard brands, we offer digital banking and lending products designed for consumers often overlooked, paired with incentives that support long-term financial improvement. Our Edge brand extends this expertise to other companies, providing underwriting, fraud detection, and analytics services. Headquartered in Chicago with a distributed global workforce, we are a lean, growing organization committed to advancing consumer finance in the US. Internship Summary NinjaHoldings is seeking an Intern to join our Marketing Analytics team, partnering with Marketing and senior analytics experts. You’ll support the data pipeline—updating Snowflake data models, assisting with Periscope dashboard builds and automations, and using SQL/Python to analyze funnel performance and identify drop-off drivers. Your insights will help inform clear, data-driven recommendations for leadership and guide cross-functional testing and optimizations. Our internship program offers an opportunity to work on real projects that move the business forward while receiving hands-on professional development. When: May-August 2027 Location: Hybrid, downtown Chicago HQ (in-office 2x/week). Candidates must be local or able to relocate independently - relocation assistance is not provided. Schedule: 40 hours/week Key Responsibilities: Monitor key funnel metrics through reports and dashboards to track channel performance, diagnose deviations, and surface root-cause insights Use SQL and Python to analyze funnel trends, quantify drop-off drivers, and provide recommendations to optimize Communicate findings in a clear, concise way to stakeholders Assist in updating and maintaining DBT data models in Snowflake to streamline reporting Help enhance Periscope dashboards by adding new charts and metrics to improve visibility across the marketing funnel Partner with Marketing, Risk, and Engineering to implement strategy changes, monitor releases, and conduct post-release impact analysis Ideal Candidate Will Have: Currently pursuing a Bachelor’s or Master’s Degree Strong written and verbal communication skills with excellent attention to detail. Strong ability to write queries for data extraction, transformation, and analysis. Must be comfortable with joins, aggregations, subqueries, CTEs, and window functions. Strong quantitative and problem-solving skills with key attention to detail Additional Pluses: Advanced degree in quantitative discipline (e.g., math, statistics, operations research, quantitative finance, physics, engineering, computer sciences, etc.) Experience supporting and working with cross-functional teams in a dynamic environment Proficiency using Python Benefits & Perks: Potential path to full-time employment for high performing interns Fast-paced, high-energy work…