Maya Kirkby

Maya Kirkby

Data Processing Clerk @ Quadient

About Maya Kirkby

Maya Kirkby is a Data Processing Clerk currently employed at Quadient in Prague, Czechia. She has a diverse background in education and data management, having previously worked in various roles including Business English Instructor and Research Assistant.

Work at Quadient

Maya Kirkby has been employed at Quadient as a Data Processing Clerk since 2021. In this role, she monitors and resolves abnormalities in Salesforce databases, ensuring data integrity. She collaborates with account managers and sales managers to optimize data processing workflows. Additionally, she utilizes Cloudingo software to enhance data quality by removing duplicate entries in Salesforce.

Education and Expertise

Maya Kirkby holds a Master of Science in Computer Science with Data Analytics from the University of York, which she completed from 2021 to 2023. She also studied Data Analytics at CareerFoundry from 2021 to 2022. Prior to her master's degree, she earned a Bachelor's degree in Psychology from the University at Buffalo, where she studied from 2014 to 2018.

Professional Background

Maya Kirkby's professional experience includes various roles in education and administration. She worked as a Business English Instructor at Glossa School of Languages in Prague for seven months in 2020. She also served as an Educator at Anglofonní základní škola in Prague for the same duration. Prior to these roles, she was a Research Assistant at the University at Buffalo for eight months in 2017, an Administrator at Harbor Child Care for three months in 2019, and a Direct Support Professional at YAI for eleven months in 2018.

Data Processing Skills

In her current position and previous roles, Maya Kirkby has developed strong data processing skills. She specializes in monitoring and resolving data discrepancies, ensuring the accuracy of information within databases. Her experience with Salesforce and Cloudingo software highlights her ability to maintain data quality and streamline data processing workflows.

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