Tomer I.
About Tomer I.
Tomer I. is a Senior Product Analyst at OpenWeb in Tel Aviv, Israel, with a background in data analysis and education. He has experience in data visualization and advanced data processing tools, holding a Master's Degree in Clinical Diagnosis of Learning Disabilities.
Work at OpenWeb
Tomer I. has been employed at OpenWeb since 2021, serving as a Senior Product Analyst. In this role, he focuses on analyzing product performance and user engagement. His work involves utilizing data visualization techniques to present insights effectively. Tomer operates from Tel Aviv, Israel, contributing to the company's mission of enhancing online community engagement through data-driven strategies.
Previous Experience at Lumos Global
Before joining OpenWeb, Tomer I. worked at Lumos Global as a Data Analyst from 2019 to 2021. During his tenure, he was responsible for analyzing data to support decision-making processes. His role involved applying various data analysis techniques and tools to derive meaningful insights that informed business strategies. He worked in Ra'ananna, Central Israel, during this period.
Experience at Bar-Ilan University
Tomer I. worked at Bar-Ilan University from 2016 to 2018, focusing on the Diagnosis of Learning Disabilities. His role involved assessing and diagnosing learning disabilities, contributing to the academic and practical understanding of the field. This experience provided him with a strong foundation in educational assessment and intervention strategies.
Education and Expertise
Tomer I. holds a Bachelor of Education (BEd) in Special Education and Teaching from Kibbutzim College, which he completed from 2010 to 2014. He furthered his education at Bar-Ilan University, where he earned a Master's Degree in Clinical Diagnosis of Learning Disabilities from 2014 to 2017. His educational background equips him with a deep understanding of educational methodologies and diagnostic practices.
Data Visualization and Tools Expertise
Tomer I. specializes in data visualization, particularly using Tableau to extract and present insights from complex datasets. He employs advanced data processing tools, including Databricks and Amazon S3, to manage and analyze data efficiently. Additionally, he utilizes Athena for querying large datasets, enhancing his ability to derive actionable insights in his analytical work.