Andrew Ksiezyk

· Support business teams' objectives by delivering high-value insights in an easily understandable format

· Collect, clean, and analyze large amounts of syndicated and raw data using various databases and techniques

· Conduct pre/post test analyses using Causal Inference to gauge the impact of market events

· Collaborate with Business Intelligence and end-user teams to develop visualizations that meet their needs

· Perform Root-Cause analysis on the impact of private label and competitors

· Leverage multiple types of statistical models such as regression, classification, time-series, and clustering

· Utilize Tableau, Excel, and Python to create charts, graphs, maps, and other visualizations to communicate findings

• Developed key Residential Repaint and New Store insights through data analysis of activities and promotions
• Aggregated large amounts of industry and competitor research to inform decision-making