Switchboard Data Capture Jobs in Western Cape
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Administrators/data Capturers R10,000.00
Reonet Ltd T/a Reonet Utilities
South Africa
R10,000.00 The Administrator/Data Capturer is responsible for assisting the Project Manager with administration Project Manager with administration documentation Data Catpturing Collecting invoices Initial ranking of
share this job on whatsappSwitchboard Operator / Receptionist
Excellent StaffingCape Town Region
1 Property Investment Group is looking for a Switchboard Operator / Receptionist to join their team in you need: Grade 12 Experience with operating a switchboard Administrative support Bilingual Great communication Duties and responsibilities: Operating of the switchboard, including answering calls, taking messages and
Data Capturer Polokwane, Nelspruit, Durban, Kimberley, Bloemfontein, Cape Town
Reonet Ltd T/a Reonet UtilitiesSouth Africa
R10,000.00 The Administrator/Data Capturer is responsible for assisting the Project Manager with administration Project Manager with administration documentation Data Catpturing Collecting invoices Initial ranking of
Switchboard Receptionist Cape Town, South Africa
Excellent StaffingCape Town Region
1 Property Investment Group is looking for a Switchboard Operator / Receptionist to join their team in you need: Grade 12 Experience with operating a switchboard Administrative support Bilingual Great communication Duties and responsibilities: Operating of the switchboard, including answering calls, taking messages and
Data Engineer
ExlCape Town Region
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
Data Specialist
Raw AmbitionKloof Street
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Data Engineer
Cape Town Region
R60 000 to R80 000 Per Month processing data from over 200 source systems. The role involves cleaning and aggregating data through our will improve and streamline processes regarding data flow and quality, working both independently and skills
Qualifications
Talend
Data Engineer
ExlCape Town Region
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including 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 Extensive
Crm Data Analyst Johannesburg
Kelly Sinclair Recruitment PartnersSouth Africa
Join Our Client's Team as a CRM Commercial Data Analyst Our client, a leading global hygiene and health company, is excited to welcome a CRM Commercial Data Analyst to their team in Johannesburg. In this role cross-functional global team Contribute to the development of a data-driven performance mindset/way-of-working across
Data Analyst Claremont
Networkers International SaClaremont
is in need of a Data Analyst who will be responsible for actively identifying any data conflicts and patterns ensure we have data accuracy, integrity and the best possible datasets for our reports. Data Gathering: Collect Collect data from various sources, ensuring accuracy and completeness. Data Cleaning: Pre-process and and clean data to prepare it for analysis, which might involve handling missing values, outliers, and inconsistencies inconsistencies. Data Analysis: Utilise SQL to query databases and extract relevant information for analysis
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