Data Analyst - Marketing

NinjaHoldings provides digital banking, lending, underwriting, fraud detection, and analytics services designed to improve access to financial services. The Data Analyst - Marketing will partner with Marketing and senior analytics experts to build and maintain data models and dashboards, analyze funnel performance using SQL and Python, and deliver actionable recommendations. The role also involves cross-functional collaboration, mentoring junior analysts, and critically using AI tools to accelerate analysis and development.

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

Requirements:

• 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
• Proficiency in using Python
• Demonstrated ability to work effectively alongside AI/LLM tools using them to move faster while independently verifying and correcting their output
• Strong quantitative and problem-solving skills with keen attention to detail