a Testing client is looking for a skilled Junior Data Analyst for their Johannesburg and Durban offices of competency. Experience 1 - 2 years' relevant data analysis experience in a professional working environment
of a data analyst is to develop strategies for the clients (growers and buyers) by leveraging data management
research/analysing the data harnessed by the platform (as well as external data sources), the data analyst should
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is looking for a skilled Data Loss Prevention (DLP) specialist to join our Data Governance team. The ideal ideal candidate will have a deep understanding of data protection principles and experience in implementing mitigate risks associated with data loss or leakage. As a DLP specialist, you will be responsible for designing designing, implementing, and maintaining data protection strategies and technologies within our clients clients. Responsibilities: Develop and implement data loss prevention policies, standards, and procedures
for a Junior Legal Specialist focused on Property Law for a financial services company. As a Junior Legal Legal Specialist, you will be responsible for providing legal support and expertise in property-related
Reference: BIT003139-Cha-1 Calling on Junior Data Scientist with 1-2 years of experience who is eager growth. Qualifications: 1-2 years of experience in data science and machine learning. Proficient in Python with machine learning frameworks. Experience with data analysis and visualization tools. (e.g., Pandas insights. Manage, cleanse, and label data using SQL for master data management Apply now If you possess
client is seeking a Junior Data Analyst with 2-3 years of experience in SQL and data visualization. This This role offers growth into data science, using machine learning and other advanced tools Qualifications: Qualifications: 2-3 years of experience with SQL and data visualization tools (e.g., Tableau, Power BI and SSRS) C#. Key Responsibilities: Analyse and interpret data to provide insights and recommendations. Create visualizations to communicate findings effectively. Support data science projects by preparing and managing datasets
What you will be doing:Â
To plan; direct and co-ordinate the activities of enterprise-wide projects to ensure that project goals are accomplished and to develop project plans specifying goals; strategy; staffing; scheduling; identification of risks; contingency plans and all
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