Diana Thompson

Diana Thompson is a highly skilled professional with a proven track record in delivering advanced reporting, analytics, and forecasts that drive consistency in measurement and actionable intelligence for management.

She excels in deep-dive analysis, data wrangling, and developing Key Performance Indicators (KPIs) that span across functional areas to provide insights to senior management in operations, supply chain, and finance, while also guiding and mentoring junior analysts.

With deep expertise in data modeling, Diana is proficient in ETL processes across various database platforms, data normalization, analysis, reporting, and dashboard development using tools like Tableau and Power BI.

Her statistical analysis capabilities include employing techniques like Linear and Logistic Regression to measure correlation, collinearity, and develop forecasts, assessing the impact of business process changes.

Diana possesses a diverse technical skill set encompassing Advanced Excel, SQL (across multiple database environments), statistical analytics tools like Excel, JMP, and basic R, as well as data manipulation in VBA, SPSS, SAS, and introductory Python.

She is well-versed in Agile development methodology, data stewardship, and tools like Confluence, JIRA, and SVN.

Diana Thompson holds a Bachelor's Degree in English Language and Literature/Letters from the University of Colorado Colorado Springs and a Master of Science in Business Intelligence and Analytics from Saint Joseph's University.

Her professional journey includes roles such as Senior Business Intelligence Engineer at Amazon, Manager of Amazon Analytics for eCommerce at Newell Brands, Database Engineer and Senior Business Analyst at Lightspeed Research, and Senior Risk Analyst at JP Morgan Chase/WaMu.

Her experience as an Analyst II in Risk Analytics at Washington Mutual further underscores her depth of expertise in data analysis and business intelligence.