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2. Data entry clerk - Wikipedia

   en.wikipedia.org/wiki/Data_entry_clerk

   A data entry clerk. A data entry clerk, also known as data preparation and control operator, data registration and control operator, and data preparation and registration operator, is a member of staff employed to enter or update data into a computer system. [1][2] Data is often entered into a computer from paper documents [3] using a keyboard. [4]

3. Data entry - Wikipedia

   en.wikipedia.org/wiki/Data_entry

   Data entry. Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [1] and is "one of the important basic" [2] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.

4. Data Entry Specialist Job Description - AOL

   www.aol.com/2010/09/28/data-entry-specialist-job...

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5. Recruitment - Wikipedia

   en.wikipedia.org/wiki/Recruitment

   Recruitment poster for the UK army. Recruitment is the overall process of identifying, sourcing, screening, shortlisting, and interviewing candidates for jobs (either permanent or temporary) within an organization. Recruitment also is the process involved in choosing people for unpaid roles. Managers, human resource generalists, and recruitment ...

6. List of accounting roles - Wikipedia

   en.wikipedia.org/wiki/List_of_accounting_roles

   Staff accountants typically have bachelor degrees but are not necessarily Certified Public Accountants. Typical duties of a staff accountant include preparing journal entries and reconciliations. Staff accountants may also perform duties such as accounts payable and accounts receivable. [6] A corporate staff accountant typically reports to a ...

7. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...