Charlie Chen is a Senior Data Analyst with six years of experience turning messy, high-volume marketing and product data into actionable insights that drive growth across e-commerce and ad-tech. She has owned end-to-end analytics workflows—building Snowflake and BigQuery pipelines, automating ETL with Airflow, and shipping 60+ self-serve dashboards in Tableau, Looker, and Looker Studio to reduce ad-hoc requests. Her work spans marketing attribution, LTV, retention, subscription analytics, and campaign performance, often translating complex AC/AMC and partner API datasets into clear product and growth recommendations. Charlie combines a technical toolkit (SQL, Python, Snowflake, BigQuery) with a human-centered approach, prioritizing user journeys and behavior when measuring impact. Trained at USC Marshall (MS Marketing Analytics) and experienced across startups and consultancies, she’s adept at partnering with product and marketing teams to balance short-term performance with long-term customer value. A practical detail that sets her apart: she’s delivered SKU and inventory mapping improvements and ETL automations that cut manual work dramatically, showing a pattern of operational as well as analytical impact.
6 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Marketing Analytics, Master of Science - MS, Marketing Analytics at University of Southern California
Bachelor of Business Administration - BBA, Management Information Systems, General, Bachelor of Business Administration - BBA, Management Information Systems, General at The University of Texas at Austin
Pravega - Streaming as a new software defined storage primitive
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