Phillip Gaynor

Experienced Analyst with a demonstrated history of working in both non-profit industry analytics and retail industry analytics. Skilled in Microsoft SQL, R, data warehouses, kog script programming, statistical analysis, automation programs, and data quality processes. Strong business development professional with a Master's Degree focused in Management Information Systems, General from University of Illinois at Chicago. Data-driven researcher turned marketing analyst. Passionate about using quantitative and qualitative data to formulate compelling stories and draw actionable business insights. Experienced in: • Data Management: Relational databases (RDBMS) including Kognitio, Microsoft SQL Server and MS Access • Data Visualization: Excel, R (ggplot2), familiar with Microsoft Power BI • Analytics and Programming: Proficient with R, Microsoft Excel; familiar with SAS, Java • Research: Quantitative and qualitative research, research design, interpreting and presenting results • Mathematics and Statistics: Basic statistics including hypothesis testing and t-tests, ANOVA, statistical interaction, loess smoothing, univariate and multivariate regression, probability, logistic regression