Jiaqi Chen
About Jiaqi Chen
Jiaqi Chen is a Senior Analyst at Procure Analytics, specializing in business analytics and reporting efficiency. He holds a Master of Science in Business Analytics from Emory University and has experience in various roles, including project management and internships in risk advisory and private equity.
Work at Procure Analytics
Jiaqi Chen has been employed at Procure Analytics as a Senior Analyst since 2020. In this role, Chen has focused on enhancing operational efficiency through various analytical techniques. Notable contributions include the automation of sales and payment reports utilizing Excel VBA, R, and ETL in Domo. Additionally, Chen developed a mass email distribution tool using Powershell, which facilitated customization and delegation of email communications within the organization.
Education and Expertise
Jiaqi Chen holds a Master of Science in Business Analytics from Emory University, where studies were completed from 2019 to 2020. Prior to this, Chen earned a Bachelor of Science in Accountancy and Finance from Gies College of Business at the University of Illinois Urbana-Champaign, studying from 2015 to 2019. This educational background has equipped Chen with a strong foundation in data analysis and financial principles.
Background
Jiaqi Chen has a diverse professional background with experience in various sectors. Prior to joining Procure Analytics, Chen worked as a Project Manager at FACES Consulting from 2018 to 2019. Chen also held internships at KPMG as a Risk Advisory Intern in 2017, C-Bridge Capital as a Private Equity Intern in 2018, and Ernst & Young as an Audit Intern from 2016 to 2017. These roles provided exposure to risk management, private equity, and auditing.
Technical Skills and Projects
In the course of professional work, Jiaqi Chen has utilized programming and analytical tools extensively. Chen conducted SKU consolidation using text engine techniques in Python to identify optimal product alternatives. Additionally, Chen developed forecasting models using R and Redshift, which supported contract negotiations with a major vendor. These projects demonstrate a strong proficiency in data-driven decision-making.