Mazars welcome first group of YES programme data scientists

Through the vision of our Co-CEO Anoop Ninan, the Mazars Data School, situated in Mazars Gauteng welcomed its first group of YES candidates, sourced through the successful YES programme. Under the guidance of Bilal Vallee (Director: IT Technology and Consulting) much work was done in the months preceding the opening, as curriculums had to developed, integration plans worked on; and with the assistance of Sandica Balrishrie (Manager: B-BBEE Services) and Human Resources, the creation of approved learnerships.

The students have a varied set of qualifications ranging from Mathematical Sciences degrees, to degrees and certificates in Information Technology.

During the months of September and October, the students were put through an intense training programme in conjunction with training Partners Sambe Consulting, Datasecure and Mazars internal training and development teams.

Training was provided on utilising the data analytics tools within Excel and the foundation levels in learning how to become certified Microsoft SQL analysts.

Further training in the form of Advanced Microsoft SQL, Power Bi and software development courses are planned strategically over the next 10 months.

The vision for the students at the conclusion of their one-year programme is to deploy these students into firstly internal Mazars divisions, thereby injecting direct data analytics skills and resultant efficiencies into each division.

In addition, students will be seconded to different offices in the country, where this is possible. This will expand Mazars offering of data analytics and ensure each office has their own dedicated resource.

We would like to take this opportunity to wish our students all the best in their programme.

First intake of students

Mazars Gauteng welcomed the following students from diverse backgrounds as the first intake of students:

1. Mbali Marule
2. Ignatious Phaka
3. Reneilwe Sefora
4. Paul Moraka
5. Kagiso Emely
6. Keven Molaba
7. Unathi Tolugu
8. Ntanganedzeni Munyai