NinjaHoldings
Data Analyst - Marketing
About this role
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. Job Summary NinjaHoldings is seeking a self-directed Data Associate to join our Marketing Analytics team, partnering with Marketing and senior analytics experts. You'll own analytics work end-to-end within your area - building and maintaining the Snowflake/dbt models and Periscope dashboards that power funnel reporting, independently diagnosing drop-off drivers with SQL and Python, and translating your findings into clear, actionable recommendations for leadership. You'll coordinate with cross-functional partners, help level up more junior analysts, and are expected to work fluently and critically alongside modern AI tooling. Key Responsibilities:
- Own the monitoring of key funnel metrics through reports and dashboards - tracking channel performance, diagnosing deviations, and driving to root cause with minimal guidance
- Independently take a defined business problem, analyze it with SQL and Python, quantify drop-off drivers, and deliver a recommendation that accounts for business tradeoffs
- Build, update, and maintain dbt data models in Snowflake to enhance and streamline marketing reporting, writing reusable, standards-compliant code
- Build and maintain Periscope dashboards, adding charts and metrics that improve visibility across the marketing funnel
- Communicate concise, action-oriented recommendations to senior management, tailoring the narrative and visualizations to the audience
- Partner with Marketing, Risk, and Engineering to coordinate strategy changes, monitor releases, and conduct post-release impact analysis
- Use AI tools to accelerate analysis and development, while critically verifying their output - catching errors, validating logic, and take ownership of correctness
- Support the growth of the team through knowledge sharing, code review, and mentoring of junior analysts Ideal Candidate Will Have:
- Bachelor's degree required
- 2+ years of experience with data analytics
- Advanced working SQL knowledge and experience with relational databases and query authoring, plus working familiarity with a variety of databases