Katarzyna Wąchała
About Katarzyna Wąchała
Katarzyna Wąchała is an Analyst specializing in Data Utilisation: Regulatory at AXA XL in Wroclaw, Poland, where she has worked since 2018. She conducts root cause analysis for data errors and prepares regulatory returns, leveraging her expertise in VBA macros for process improvements.
Work at AXA XL
Katarzyna Wąchała has been employed at AXA XL since 2018, serving as an Analyst in Data Utilisation: Regulatory. In this role, she is responsible for preparing regulatory returns and reporting for Lloyd’s. She acts as a Subject Matter Expert (SME) for analyzing various types of errors and conducts root cause analysis to investigate data errors or anomalies. Additionally, she provides technical support to the Root Cause Analysis Team, contributing to the resolution of data-related issues.
Previous Experience at XL Catlin
Before joining AXA XL, Katarzyna Wąchała worked at XL Catlin as an EDM Analyst from 2017 to 2018. During her time there, she focused on data management and analysis, contributing to the organization's data governance initiatives. Her experience at XL Catlin laid the groundwork for her current role in regulatory data utilization.
Background in Retail at Levi Strauss & Co.
Katarzyna Wąchała began her career as a Shop Assistant at Levi Strauss & Co., where she worked from 2015 to 2017. This role provided her with foundational customer service skills and experience in a retail environment, which complemented her analytical career path.
Education and Expertise
Katarzyna Wąchała earned her Bachelor’s Degree in Biotechnology from the Technical University of Wroclaw, completing her studies from 2010 to 2015. She furthered her education by obtaining a Master’s Degree in Pharmaceutical Biotechnology from the same institution, which she completed in 2016. Her academic background supports her expertise in data analysis and regulatory compliance.
Specialization in VBA Macros
In her professional capacity, Katarzyna Wąchała specializes in preparing VBA macros aimed at process improvements. This technical skill enhances her ability to streamline data processes and improve efficiency within her analytical work.