Idan Lavy
About Idan Lavy
Idan Lavy is a Data Analysis Manager at KPMG Israel, where he has worked since 2016. He holds an MBA from Bar-Ilan University and a BA in Economics from Ben Gurion University, and he is recognized for his analytical skills and collaborative leadership.
Work at KPMG Israel
Idan Lavy has been serving as a Data Analysis Manager at KPMG Israel since 2016. In this role, he is responsible for overseeing data analysis projects and providing insights that support decision-making processes. His position requires collaboration with senior management and various teams, showcasing his leadership and teamwork skills. Lavy's expertise in data management and analysis contributes to KPMG's commitment to delivering high-quality consulting services.
Education and Expertise
Idan Lavy holds a Master of Business Administration (MBA) from Bar-Ilan University, where he studied Finance from 2008 to 2010. He also earned a Bachelor of Arts (B.A.) in Economics from Ben Gurion University, completing his studies from 2002 to 2005. His educational background provides a strong foundation in financial analysis and economic principles, which he applies in his professional roles.
Background
Before joining KPMG, Idan Lavy held several positions that contributed to his expertise in data analysis and finance. He worked as an Economist at Tnuva from 2007 to 2011 and later served as Finance Planning & Control Manager at Hamashbir Lazarchan from 2014 to 2016. He also gained experience as an Economist at Better Place from 2011 to 2013. This diverse background has equipped him with a broad understanding of economic analysis and financial planning.
Achievements
Idan Lavy is recognized for his high analytical skills and creative problem-solving abilities. He has practical experience in feasibility testing and pricing, which enhances his contributions to economic analysis. Lavy is skilled in developing profit and loss reports, balance sheets, and cash flow reports, demonstrating his proficiency in financial documentation. Additionally, he has extensive experience in creating complex Excel models, highlighting his advanced technical skills in data management.