Steve Tuite
About Steve Tuite
Steve Tuite is a Senior QA Analyst at Sunrun in Denver, Colorado, where he has worked since 2021. He has extensive experience in quality assurance and training, having held various roles in companies such as National Credit Care, Alliance Data, and T-Mobile.
Work at Sunrun
Steve Tuite has been employed at Sunrun since 2021, serving as a Senior QA Analyst in Denver, Colorado. In this role, he supports and guides a team of 10 QA Analysts, focusing on evaluating calls across various departments. He utilizes a speech analytics platform to analyze large samples of calls, providing insights into current trends for stakeholders. Additionally, he manages multiple projects aimed at refining and developing the resource database to ensure the customer-facing team has access to up-to-date information.
Previous Experience
Before joining Sunrun, Steve Tuite worked at National Credit Care as a Training Manager from 2020 to 2021. He also held various positions at Alliance Data card services - Know More Sell More, including Manager Development Program Participant, Sr. Trainer, and Customer Care Sr. Supervisor, from 2017 to 2020. His earlier experience includes a role as Supervisor / Financial Care Representative II at T-Mobile from 2008 to 2012 and as a Trainer / Call Quality Development Specialist at Dish Network from 2004 to 2008.
Education and Expertise
Steve Tuite studied at Front Range Community College, where he focused on Marketing and Business Management. He earned an Associate's degree between 2011 and 2014. His educational background supports his expertise in quality assurance and team management, contributing to his effectiveness in his current role at Sunrun.
Leadership and Team Management
In his current position at Sunrun, Steve Tuite leads a team of 10 QA Analysts. He is responsible for evaluating calls and ensuring quality standards are met across departments. His leadership involves managing projects that enhance the resource database, which is crucial for the customer-facing team to operate efficiently.