Kruthi R
About Kruthi R
Kruthi R is a Master Data Associate at Thomson Reuters, specializing in master data integrity and supporting the Tax & Accounting Business for the UK and America. She holds a Bachelor of Business Administration from CMR Institute Of Management Studies and has experience in finance content writing.
Work at Thomson Reuters
Kruthi R currently serves as a Master Data Associate at Thomson Reuters, a position she has held since 2021. In this role, she focuses on ensuring master data integrity and maintaining processes that support data quality. She manages material master data specifically for the Tax & Accounting Business across the UK and America regions. Her responsibilities include handling data initiative issues and making necessary revisions to meet internal customer requirements while adhering to data governance guidelines.
Education and Expertise
Kruthi R studied at CMR Institute Of Management Studies, where she earned a Bachelor of Business Administration (BBA) degree with a focus on Finance, General. Her studies spanned from 2018 to 2021, providing her with a solid foundation in business principles and financial management. This educational background supports her current role in managing master data and ensuring data quality within the Tax & Accounting sector.
Background
Before joining Thomson Reuters, Kruthi R worked as a Finance Content Writer at Stodict for one month in 2020. This role was based in Bangalore Urban, Karnataka, India. Her experience in content writing, combined with her educational background, has equipped her with skills that are beneficial in her current position focused on data management.
Data Management Skills
In her role as a Master Data Associate, Kruthi R utilizes the SAP-WRP environment to create and maintain pricing for all lines of business within the Tax & Accounting sector. She emphasizes simplifying product data tasks with a focus on timeliness and accuracy, which is crucial for maintaining the integrity of master data. Her work directly supports the operational needs of the business and enhances data quality.