Padrig Tuck
About Padrig Tuck
Padrig Tuck is the Lead Analytics Engineer at Klaviyo, where he has worked since 2023. He has a background in analytics and development, with previous roles at Klaviyo and Prolific Works.
Work at Klaviyo
Padrig Tuck has been employed at Klaviyo since 2020, initially serving as a Senior Operations Analyst before advancing to the role of Senior Analytics Engineer in 2021. In 2023, he transitioned to the position of Lead Analytics Engineer. His work is based in Cambridge, Massachusetts, and he operates in a hybrid work environment. During his tenure at Klaviyo, Tuck has contributed to various analytics projects, enhancing data-driven decision-making processes within the company.
Previous Experience
Before joining Klaviyo, Padrig Tuck held several positions that contributed to his expertise in analytics and development. He worked at Prolific Works as a Senior Developer and later as a Dev Ops Manager from 2016 to 2018. He also gained experience as a Full Stack Developer at Black Math in 2016 and as an Apprentice Web Developer at Launch Academy, Inc. Additionally, Tuck worked at Mass General Hospital as a Senior Research Assistant and a Research Assistant from 2013 to 2016, where he focused on research projects in the healthcare sector.
Education and Expertise
Padrig Tuck earned a Bachelor of Science degree in Environmental Science from UMass Boston, completing his studies from 2009 to 2013. His educational background has provided him with a strong foundation in analytical thinking and problem-solving, which he has applied throughout his career in various technical roles. His expertise spans analytics engineering, operations analysis, and software development.
Career Timeline
Padrig Tuck's career spans over a decade, beginning with his role as a Research Assistant at Mass General Hospital in 2013. He progressed through various positions, including roles in web development and operations management, before focusing on analytics at Klaviyo. His career trajectory reflects a commitment to continuous learning and adaptation within the technology and analytics fields.