Biayna Grigoryan
About Biayna Grigoryan
Biayna Grigoryan is a BI Developer at wefox in Berlin, Germany, where she has worked since 2019. She holds a Master of Science in Quantitative Economics and has previous experience as a Financial Analyst and Data Annotator.
Work at wefox
Biayna Grigoryan has been employed at wefox as a BI Developer since 2019. In this role, she is responsible for business intelligence tasks, leveraging data to support decision-making processes within the company. Her tenure at wefox spans five years, during which she has contributed to various projects aimed at enhancing the company's data analytics capabilities. The company is based in Berlin, Germany.
Previous Experience in Financial Analysis
Prior to her role at wefox, Biayna Grigoryan worked as a Financial Analyst at Kintaro Capital from 2018 to 2019. During her eight-month tenure, she focused on financial data analysis and reporting, contributing to the firm's investment strategies. Additionally, she served as a Data Annotator at Semalytix GmbH for 11 months in 2018, where she worked on data preparation and annotation tasks.
Education and Expertise
Biayna Grigoryan holds a Master of Science (M.Sc.) in Quantitative Economics from Universität Bielefeld, where she studied from 2013 to 2017. She also completed the Quantitative Economics International Track at the University of Paris I: Panthéon-Sorbonne in 2013. Earlier, she earned a Bachelor of Science (B.S.) in Mathematical Methods and Operations Research in Economics from Armenian State University of Economics from 2007 to 2011. Additionally, she received training for bank specialists at the Financial Banking College, Central Bank of Armenia from 2011 to 2012.
Professional Development
Biayna Grigoryan's educational background includes a strong focus on quantitative methods and economics. Her studies have equipped her with skills in data analysis, financial modeling, and economic research. This foundation supports her current work in business intelligence, where she applies her analytical expertise to derive insights from complex data sets.