Kane Dixon

Managed and mentored a team of 5 analysts and led analytics initiatives that drove $1.1M in retention and expansion ARR and launched a retail media analytics product to $1.3M ARR. Replaced manual reporting with automated dashboards, built data products saving $300k annually, and scaled workflows with AI-driven automations saving $200k annually.

Led and mentored analysts while driving experimentation and dashboards that increased revenue 15% and reduced churn 8%, and automated testing/reporting workflows saving ~$130k annually. Supported cross-functional teams with strategic analytics and migrated workflows to modern stacks improving query performance 150%.

Delivered end-to-end insights by building ETLs and interactive dashboards, consolidating three roles to save $210k annually and contributing to 14% YoY revenue growth through revenue dashboards and customer segmentation. Improved analytics performance using Spark SQL, Snowflake, Python, Tableau, and Power BI.

Built investigative queries and dashboards across petabyte-scale datasets to identify malicious behavior and developed text-analysis signals that helped shut down large-scale scams, improving platform safety and reducing company risk.

Built predictive staffing and operational models that reduced target case volume 30% and developed automated case-routing systems with 99.7% accuracy, saving over $100k annually.

Led and mentored junior officers and enlisted personnel, executing operational plans through delegation, logistics, and KPI tracking across information operations.

Completed a Bachelor of Science in Industrial Engineering with coursework and projects focused on analytics, optimization, and data-driven decision making.