Nagendra Manjunath
About Nagendra Manjunath
Nagendra Manjunath is a Senior Business Data Analyst at Thomson Reuters, where he has worked for 14 years. He holds a Bachelor of Business Administration and a Master of Business Administration, and he specializes in data integration and automation processes.
Work at Thomson Reuters
Nagendra Manjunath has been employed at Thomson Reuters as a Senior Business Data Analyst since 2010. Over the course of 14 years, he has contributed to various data integration projects aimed at streamlining data processes. His role involves developing business as usual (BAU) models that simplify project tasks and help in building effective roadmaps. He is also responsible for implementing automation processes that ensure quality checks on weekly bulk data loads, enhancing the efficiency and reliability of data management.
Education and Expertise
Nagendra Manjunath has a solid educational background in business and finance. He attended Mahajana's PU College from 2002 to 2004, where he studied Business/Commerce. He then pursued a Bachelor of Business Administration (BBA) in Accounting and Finance at St. Philomena's College from 2004 to 2007. Furthering his education, he earned a Master of Business Administration (MBA) in Finance and Financial Management Services from Presidency College between 2008 and 2010. This academic foundation supports his expertise in data analysis and business processes.
Background
Nagendra Manjunath has a background that combines education in business and finance with extensive professional experience in data analysis. His academic journey began at Mahajana's PU College, followed by St. Philomena's College, and culminated at Presidency College. This educational path has equipped him with the necessary skills to excel in his current role as a Senior Business Data Analyst at Thomson Reuters in Bengaluru, India.
Achievements
Throughout his career, Nagendra Manjunath has been involved in significant projects that focus on data integration and process improvement. He has developed business as usual (BAU) models to streamline project tasks, which has contributed to more efficient workflows. Additionally, his implementation of automation processes for quality checks on data loads has enhanced the accuracy and reliability of data management practices within his organization.