Administrator AND a Data Capturer - Cape Town (Paarl area) ADMINISTRATOR as well as a DATA CAPTURER Matric MUST experience either as a: ADMINISTRATOR (Office) OR DATA CAPTURER Clean Criminal record - will be verified
Administrator AND a Data Capturer - Cape Town (Paarl area) ADMINISTRATOR as well as a DATA CAPTURER Matric MUST experience either as a: ADMINISTRATOR (Office) OR DATA CAPTURER Clean Criminal record - will be verified
ADMINISTRATOR as well as a
DATA CAPTURER
* Matric
* MUST be Computer
ADMINISTRATOR (Office) OR
DATA CAPTURER
* Clean Criminal
Office Assistant, Century City, Cape Town. Company Name: Vacancy scout Recruitment SUMMARY: The Office Office Assistant will assist in all general office tasks. Position: Office Assistant. Location: Century City plus benefits. Office Assistant Position. We require the services of a general office worker, male or or female to assist us on a full-time basis. Salary R12,000. Requirements: Grade 12 Essential. Good Time Ability to work unsupervised. Duties: General office work. Closing Statement: Correspondence will be
have no criminal record. The post GENERAL OFFICE ASSISTANT appeared first on freerecruit.co.za .
Execution
Responsibilities:
skills
Qualifications
Talend
and experienced Data Scientist with a robust background in data analysis, machine learning and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving skills, exploring emerging technologies and methodologies in the data science field.Â
What you’ll do explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business.
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices