English speaking technical thinkers with a passion for data management and someone who is interested in working Junior Data Capturer and Backoffice Assistant Reporting Live Data Capturing & Optimizing Data. Analysis Performance. Microsoft Excel/Google Sheets Processes. Data experience in SQL is a bonus What we can offer you: education on the financial markets. The post CRM / DATA / ADMIN appeared first on freerecruit.co.za .
We are looking for a general IT/admin person to join our headoffice in Boksburg. We are specialists in clocking system is working properly and backing up data every week Ensuring CCTV cameras for all branches
maintain robust data pipelines processing large volumes of data ● Update and optimise our data platform for their data needs ● Develop processes and tools to monitor and analyse model performance and data accuracy accuracy ● Solve general data-related problems Experience: ● Proven experience as a Data Engineer (4 years, Experience with the following would be an advantage: ● Data governance ● Building and deploying machine learning
NFP014387-AND-1 Unlock Your Potential in Pretoria Are you a data enthusiast with actuarial qualifications and 0-2 into the world of data analytics? Key Responsibilities: Analyze and interpret complex data sets to drive maintain data models, dashboards, and reports Collaborate with cross-functional teams to identify data-driven data-driven opportunities Implement and improve data collection and analysis processes Stay updated with the practices in data analytics Qualifications: Actuarial qualifications with a strong interest in data analytics
interpret complex data sets to drive business decisions
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develop, and maintain robust data pipelines to collect, process, and store data from various sources.
experience
passionate about using data to solve problems? We want you: We are looking for Data Engineering Professionals Professionals to join our dynamic and diverse team of Data Specialists. If you meet some or all the below requirements extraneous data and extracting the core requirements. RESPONSIBILITIES: (As the field of data engineering the consumption of data, data pipelines, highly distributed, high availability data processing pipelines in an effort to satisfy the need of the Client, Data Analysts or Quantitative Analysts.) Providing a
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