Andrei Manoli
About Andrei Manoli
Andrei Manoli is a Data Analyst at the National Institutes of Health, where he has worked since 2014. He previously held positions at Highrise Consulting, Inc. and QSSI, and has a strong educational background in Economics and Business Administration.
Work at National Institutes of Health
Andrei Manoli has been employed at the National Institutes of Health (NIH) as a Data Analyst since 2014. In this role, he provides critical data analysis and reporting support, contributing to the management of the NIH research portfolio. His work involves collaborating with various stakeholders to enhance the efficiency of extramural business processes. Manoli's contributions are aimed at improving public health through informed decision-making based on data insights.
Previous Experience at Highrise Consulting, Inc.
Before joining NIH, Andrei Manoli worked at Highrise Consulting, Inc. as an Account Executive from 2014 to 2019. During his five years in this position, he was based in Bethesda, MD. His responsibilities included managing client accounts and providing data and reporting support for grants processing specifically for the Veterans’ Administration. This role allowed him to develop skills in client relations and data management.
Background in Data Analysis and Engineering
Andrei Manoli has a diverse background in data analysis and engineering. He worked at QSSI as a Test Automation Engineer from 2012 to 2014, where he focused on software testing and automation processes. Additionally, he held a position as a Business Analyst/Systems Support Engineer at IT Curves for four months in 2012. These roles provided him with a strong foundation in technical analysis and system support.
Education and Expertise
Andrei Manoli holds a Master of Business Administration (MBA) from Universitatea de Studii Europene din Moldova, where he studied Economics and Business Administration from 2018 to 2020. He also earned a Bachelor's degree in Finance and Banks from Academia de Studii Economice din Moldova, studying from 2015 to 2018. His educational background equips him with a solid understanding of financial principles and business operations, which he applies in his data analysis work.