Grace Yang
About Grace Yang
Grace Yang is a Data Analyst at TELUS in Toronto, Canada, with a background in Mathematics and Statistics from McMaster University and experience in marketing data analysis and configuration management.
Company
Grace Yang is currently employed at TELUS as a Data Analyst (Configuration Management Analyst) in the Toronto, Canada area. Her role involves various tasks related to data analysis, monitoring, alerting, reporting, and process improvements for TELUS's database assets.
Professional Title
Grace Yang holds the position of Data Analyst (Configuration Management Analyst) at TELUS. Her responsibilities include managing lifecycle reports, participating in data migration projects, and providing data accuracy support to internal teams.
Education and Expertise
Grace Yang earned a Bachelor of Science (BS) degree in Mathematics and Statistics and Economics from McMaster University. Her educational background has equipped her with strong research skills and proficiency in statistical methods such as correlation and regression analysis, particularly using MATLAB and Excel.
Past Professional Experience
Before joining TELUS, Grace Yang worked as a Marketing Data Analyst at Bluekey Education in Toronto, Canada, from 2017 to 2019. In this role, she developed primary and secondary research skills, conducted surveys, and extracted data sets from marketing research results to support data analysis for research studies.
Projects and Initiatives
Grace Yang has participated in several significant projects. She was involved in a migration project from CSDB to ServiceNow, using Python for data merging and cleaning. Additionally, she collaborated with the ScienceLogic Team on monitoring, alerting, and reporting for TELUS Database assets and has facilitated various lifecycle reports for CRS. Her expertise also extends to creating dashboards in Excel and Tableau and analyzing historical data to predict sales behavior.
Technical Skills and Certifications
Grace Yang is proficient in multiple data reporting and analytics tools, including VBA/Macro, SAS, SQL, and Python. She is working towards attaining her SAS 9 certification. Her skills also encompass creating visually impactful dashboards using Excel and Tableau, and she has an understanding of the interplay between machine learning and customer-centric programs such as sales and loyalty initiatives.