Profession data entry clerk
Data entry clerks enter coded, statistical, financial and other numerical data into electronic equipment, computerised databases, spreadsheets or other data repositories using a keyboard, mouse, or optical scanner, speech recognition software or other data entry tools. They enter data into mechanical and electronic devices to perform mathematical calculations.
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Personality Type
Related professions typist
- Typist or word processing operator
Knowledge
- Documentation types
The characteristics of internal and external documentation types aligned with the product life cycle and their specific content types.
- Query languages
The field of standardised computer languages for retrieval of information from a database and of documents containing the needed information.
- Resource description framework query language
The query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).
- Database
The classification of databases, that includes their purpose, characteristics, terminology, models and use such as XML databases, document-oriented databases and full text databases.
Skills
- Apply information security policies
Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.
- Process data
Enter information into a data storage and data retrieval system via processes such as scanning, manual keying or electronic data transfer in order to process large amounts of data.
- Perform data cleansing
Detect and correct corrupt records from data sets, ensure that the data become and remain structured according to guidelines.
- Apply statistical analysis techniques
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
- Maintain data entry requirements
Uphold conditions for data entry. Follow procedures and apply data program techniques.
Optional knowledge and skills
establish data processes manage data information confidentiality linq implement data quality processes optical character recognition software normalise data ldap manage data collection systems omnipage apply organisational techniques abbyy finereader data storage mdx n1ql data models implement data warehousing techniques xquery manage ict data classification sparqlSource: Sisyphus ODB