Summary
Denis Wu is a Business Intelligence Analyst with eight years of experience turning messy data into trusted decision-making tools, currently improving analytics and reporting at Stanford Federal Credit Union. He specializes in analytics engineering—DBT, BigQuery and SQL—alongside Python/R and ETL platforms like DOMO, Alteryx, and HighTouch to automate workflows and remove manual touchpoints. Denis has a strong GTM analytics pedigree from Gorgias where he established GitHub-reviewed DBT models as the company’s source of truth, automated CRM syncs to prevent commission and attribution errors, and enriched marketing profiles via BigQuery and Cloud Functions. He pairs technical rigor with cross-functional communication, having trained analysts and presented findings to executives and boards, and he brings a unique background combining molecular biology training with an MS in Business Analytics. Known for reducing operational friction (e.g., eliminating role-based manual processes) and preventing embarrassing outreach through careful data cleaning, he excels at making data both accurate and actionable.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA, Cell/Cellular and Molecular Biology - Immunology & Pathogenesis, Bachelor of Arts - BA, Cell/Cellular and Molecular Biology - Immunology & Pathogenesis at University of California, Berkeley
M.S. Business Analytics, Data Science and Business Analytics, M.S. Business Analytics, Data Science and Business Analytics at Santa Clara University Leavey School of Business