Ross Whitington
About Ross Whitington
Ross Whitington is an Analytics Engineer at Shift, where he has worked since 2022 after holding various roles in Sales & Operations and Business Operations from 2015 to 2022. He specializes in data modeling and self-service analytics, utilizing tools such as Redshift, dbt, and Looker.
Work at Shift
Ross Whitington has held multiple roles at Shift, contributing to the company since 2015. He started as part of the Sales & Operations team, where he worked for four years until 2019. Following this, he transitioned to Business Operations, serving in that capacity for three years until 2022. Currently, he is employed as an Analytics Engineer, a position he has held since 2022. Throughout his tenure at Shift, he has been involved in various projects that enhance data management and analytics capabilities.
Education and Expertise
Ross Whitington earned a Bachelor of Arts (B.A.) in Communications from the University of California, Davis. His educational background has equipped him with skills relevant to analytics and data management. His expertise includes utilizing a tech stack comprising Redshift, dbt, Looker, and Airflow, which he applies in his current role as an Analytics Engineer.
Background
Ross Whitington has a professional background that spans several years in analytics and operations within the tech industry. He has worked in the San Francisco Bay Area throughout his career at Shift. His experience includes building data models and enabling self-service analytics, which demonstrates his capability in managing complex data systems.
Achievements in Analytics Engineering
In his role as an Analytics Engineer, Ross Whitington co-built a comprehensive dimensional model from scratch using dbt, which improved data consistency and accuracy at scale. He has also automated data quality tests to ensure the reliability of data processes. Additionally, he has created user-friendly explores in Looker to facilitate self-service analytics for users. Ross manages two contracted Analytics Engineers, overseeing their contributions to the analytics team.