Data Associate - Marketing Analytics

NinjaHoldings•Chicago, IL

3d•$70,000 - $100,000•Remote

About The Position

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.

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

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