Matthew Dawson

Background

About Matthew Dawson

I help organizations get valuable and actionable insights out of their data to empower them to make better business and marketing decisions, such as: understanding their customers, improving their marketing campaigns, and growing their business. Some of my accomplishments include- Predictive Modeling, Exploratory Analysis, BI Dashboarding, & Data Wrangling (in SAS, Python, and Power BI)- Building Machine-Learning Models to understand the key drivers of customer satisfaction and employee retention from survey data- Developing real-time dashboards to develop meaningful KPIs and track operational performance- Making sense out of mountains of data for executives/decision-makers, data analysts/scientists, and researchers using tools/technologies such as Excel, Power BI, SQL, SAS, R, Python, Databases, APIs, Webs services, and more, to deliver actionable insights to key stakeholders- Collecting, preparing, exploring, and modeling a wide variety of data in numerous industries with both commercial and non-commercial goals- Managing analytics projects and research teams for a (data analytics-oriented) public university think tank-including the designing and implementing the analytics center's collaborative protocols, data/program flows, and documentation/knowledge transfer processes- Cleaning, preparing, and auditing data quality for analytics projects and use cases-including handling data quality issues- Reporting, dashboarding, and communicating results and insights to clients, executives, and lead researchers- Mentoring data analysts, graduate students, and academic faculty in data collection, cleaning, exploration, analysis, and modeling- Optimizing marketing campaigns, sales funnels, and Websites to boost ROI & convert visitors into customers. I bring over 5 years of experience in business data analysis, business intelligence, digital marketing-analytics, and consulting-boosted with years of experience in computer science/programming and Website development. My results include the improvement of business activities (marketing/advertising & business processes) through the use of analytics and mentoring/supporting other analysts and researchers with a wide range of data-related experiences and skill sets.