Sbongile Rosie Sibiya
About Sbongile Rosie Sibiya
Sbongile Rosie Sibiya is an Associate Process Analyst at BrightRockZA in Gauteng, South Africa, with expertise in Microsoft Power BI, SSIS, SQL Server, and Advanced Excel. She has a background in data analysis, having previously worked at Hollard Insurance and Azuka, and holds a diploma in Information Technology from Tshwane University of Technology.
Work at BrightRock
Sbongile Rosie Sibiya has been employed at BrightRockZA as an Associate Process Analyst since 2021. In this role, she contributes to process analysis and improvement initiatives within the organization. Her position is based in Gauteng, South Africa, where she has been part of the team for three years.
Previous Experience in Data Analysis
Prior to her current role, Sibiya worked as a Data Analyst Intern at Hollard Insurance from 2020 to 2021. This internship lasted for 11 months and provided her with practical experience in data analysis. Before that, she served as a Junior Data Analyst at Azuka for 11 months in 2019 to 2020. Her career began in 2013 when she worked as a temporary Data Capturer at ITanettix for one month.
Education and Expertise
Sibiya holds a Diploma in Information Technology with a focus on Software Development from Tshwane University of Technology. She studied there from 2015 to 2019, gaining foundational knowledge in IT. Additionally, she has received training in Microsoft Power BI, SSIS, SQL Server, and Advanced Excel, enhancing her analytical skills.
Technical Skills and Knowledge
Sbongile Rosie Sibiya possesses technical skills in various data analysis tools and technologies. She has training in Microsoft Power BI, SSIS, SQL Server, and Advanced Excel. Furthermore, she has beginner knowledge in Python and Machine Learning, indicating her interest in expanding her technical capabilities.
Commitment to Continuous Learning
Sibiya emphasizes the importance of a learning curve for personal and professional growth. Her belief in continuous development reflects her commitment to improving her skills and adapting to the evolving landscape of data analysis and technology.