I am looking for opportunities in data analytics and data science. I am open to working on the Azure Business Intelligence Stack and am interested In opportunities to contribute to optimizing processes and identifying opportunities for business growth. I am open to a wide variety of industries because I have also worked in finance, consulting and ediucation
simosezwe nyoni
@simosezwenyoni
I'm a data analyst based in Pretoria, South Africa. I specialize on Microsoft BI Stack and Cognos
What I'm looking for
I specialize on the Microsoft Business Intelligence stack where I am proficient on an on-premises environment or on Azure. I am also proficient in the IBM Cognos Analytics software. Here is what makes me stand-out:
Exposure to other fields such as finance and accounting, consulting and education. This makes me versatile and understand the bigger picture outside of my technical skills.
Proficient SQL skills.
Programming skills in C#, Java and Python. I am able to use the most appropriate language for a given scenario.
Passion for data and analytics
Experience
I freelance and help different clients with their data analytics. Most of my clients are new to analytics and require my services as far as proof of concept and setting up their departments. Some clients are ad-hoc and routinely require my services with creating or improving reports using SSRS or dashboards using Power BI.
Data Analyst
pm square
Apr 2022 - Mar 2023 (11 months)
I joined PM Square as a Cognos Data Analyst. I was involved in re-creating a large number of reports from a legacy system into Cognos Reports. These reports where mainly list reports for accounting related data. I was also involved in Cognos server administration including moving reports between environments, changing report distributions lists, setting up schedules for reports, monitoring reports
I freelanced for different clients specializing in the Microsoft BI Stack:
1. Development of applications(Desktop applications) using C# language
2. Designing and building scalable data models, cleaning and transforming data and enabling advanced analytical capabilities that provide meaningful business value through easy-to-comprehend data visualizations.
Tech stack
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