Data Analyst - Marketing
NinjaHoldings
- Location
- Chicago, IL
- Work style
- Remote OK
- Job type
- Full time
- Posted
- Oct 7
- 12 days ago
Career path
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About the company
NinjaHoldings
Financial services · 51 to 200 employees
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.
What you'll do
- 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
What you need
- A bachelor's degree and 2+ years of experience with data analytics are required.
- The role also requires advanced SQL knowledge, Python proficiency, experience with relational databases and query authoring, and the ability to work effectively with AI/LLM tools while verifying their output.
- Education: a bachelor's degree
Key skills
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Perks
- Flexible Paid Time Off
- Health Benefits
- 401(k) with matching contribution
- Paid Family Leave
- Annual Wellness & WFH Subsidies
- Employee Referral Program
See full description on company page, apply now