Hollard Internships 2022/2023… How to apply, intern requirements, eligibility, online application form, application closing date 2022-2023, salary scale, interview questions sample, and lots.
Applications are invited from suitably qualified applicants for the Hollard Internship Programme 2022. Learn about the process you’ll take to complete the application below.
An internship is a period of work experience offered by an organization for a limited period of time. An internship is used for a wide range of placements in businesses, non-profit organizations, and government agencies. They are typically undertaken by students and graduates looking to gain relevant skills and experience in a particular field.
Hollard Internship Application Details 2022/2023
Interested applicants can apply for the Hollard Internship 2022 provided they qualify and meet the program requirements.
All qualified applicants will receive consideration without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability, or other protected status.
An exciting new opportunity has just come available in our Hollard Central, Data and BI. We are looking to recruit a BI Developer Intern.
To meet the data needs of Central BI’s stakeholders which consist of the Analytics team and business stakeholders such as the Procurement team. The intern will be required to develop and maintain ETL jobs and data structures required to extract data from the different data sources and make that data available to the different stakeholder group.
Required Knowledge and Experience
- Extracting data a number of different sources
- Performing data transformations such as aggregating, filtering, joining, etc
- Designing databases where the data is loaded into
- Automating data pipelines
- Developing reports
- Microsoft SQL Server 2016
- PowerBi
- Sql Server Data Tools (SSIS)
- MS office (PowerPoint, Excel etc)
- Udemy
Educational Requirements
- Matric or relevant NQF Level 4
- Dip IT
- BTech IT
- BSc in Computer Science or similar
- Participation in a Data Science accelerator program
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