Summary
Dana Hagist is a Product Operations Manager and economist with nine years of experience applying analytics, programming, and economic rigor to transform data-driven decision making in both government and tech. She has led measurable process improvements—such as redesigning an outlier review that cut review time 25% and implementing 170 new thresholds to reduce review volume 35%—and pairs SQL/R fluency with experience in Python, SAS, STATA, and visualization tools. Comfortable owning projects end-to-end, Dana blends applied microeconomics and econometrics (MA) with an MS in Analytics to translate complex data into actionable product and policy insights. Her background ranges from advising enterprise customers at LinkedIn to analyzing national consumer expenditures at the BLS, giving her a rare perspective on both private-sector product operations and public-sector research. A decorated Army veteran, she brings disciplined execution, cross-functional communication, and a continual curiosity about improving analytics workflows and adopting new methods.
9 years of coding experience
2 years of employment as a software developer
Master of Arts (M.A.) Economics, Master of Arts (M.A.) Economics at University of Colorado Denver
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
Associates Economics, Associates Economics at Cabrillo College
University of California, Irvine