Evan Hegi

Evan Hegi

Manager Customer Solutions Analytics @ Medallia

About Evan Hegi

Evan Hegi is a Manager of Customer Solutions Analytics at Medallia, where he has worked since 2020. Previously, he held positions at SMG - Service Management Group, where he focused on client labor data analysis and training development, and he has a strong academic background in psychology.

Current Role at Medallia

Evan Hegi serves as the Manager of Customer Solutions Analytics at Medallia, a position he has held since 2020. He works remotely from the San Francisco Bay Area. In this role, he focuses on leveraging analytics to enhance customer solutions and drive insights that support organizational goals.

Previous Experience at SMG

Before joining Medallia, Evan worked at Service Management Group (SMG) from 2011 to 2020. He began as a Senior Research Analyst and later became a Research Manager. His responsibilities included analyzing client labor data to optimize team composition and developing training sessions on advanced analysis techniques. He received nine Top Partnership Insight Awards during his tenure, recognizing his contributions to partnership insights.

Internship Experience at Sisters of Mercy Health System

Evan completed a six-month internship as a research assistant at Sisters of Mercy Health System from 2010 to 2011. During this time, he developed a new performance assessment tool tailored for the research department, contributing to the enhancement of research methodologies.

Educational Background

Evan holds a Bachelor of Science in Psychology from Missouri State University, where he studied from 2005 to 2009. He furthered his education by obtaining a Master's degree in Industrial and Organizational Psychology from the same institution, completing his studies from 2009 to 2011. His academic background provides a strong foundation for his analytical work.

Technical Skills and Software Proficiency

Evan is trained in various analytical software tools, including SPSS, ARCGIS, Spotfire, and SPSS Text Analysis. His expertise extends to merging transaction, sales, and labor data with consumer feedback to calculate return on investment (ROI). He has also developed data quality control measures to ensure the integrity of research findings.

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