Rannie Dagle
About Rannie Dagle
Rannie Dagle is a Customer Support Representative currently working at Motion in Mountain View, California. With a diverse background in customer support and quality assurance roles at companies like Uber and Passion.io, Dagle specializes in process improvement and has a keen interest in e-commerce.
Current Role at Motion
Rannie Dagle serves as a Customer Support Representative at Motion, a position held since 2023. Based in Mountain View, California, Dagle is responsible for addressing customer inquiries and providing support to enhance user experience. This role builds on Dagle's extensive background in customer service, focusing on delivering effective solutions to client issues.
Previous Experience at Passion.io
Before joining Motion, Rannie Dagle worked at Passion.io as a Customer Support Specialist for five months in 2023, located in Germany. In this role, Dagle contributed to customer support initiatives, ensuring that users received timely assistance and guidance regarding the platform's features and services.
Career at Uber
Rannie Dagle has a significant tenure at Uber, where various roles were held from 2016 to 2022. Initially, Dagle worked as a Community Operations Specialist for six months, followed by a three-year stint as a Quality Auditor. Dagle then advanced to the position of Service Quality, Risk, and Compliance Specialist III, focusing on maintaining service standards and compliance within the organization.
Educational Background
Rannie Dagle studied at Philippine Normal University, where a Bachelor of Secondary Education degree was earned with a focus on History. This four-year program, completed from 2003 to 2007, provided foundational knowledge and skills applicable to various professional environments.
Skills and Interests
Rannie Dagle has a strong interest in e-Commerce and is exploring opportunities for virtual assistance in this sector. Dagle specializes in building new processes aimed at enhancing company performance and productivity. Additionally, a background in data generation and analysis supports contributions to quality assurance and project management.