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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 ...

  3. Data steward - Wikipedia

    en.wikipedia.org/wiki/Data_steward

    Data stewards have a specialist role that utilizes an organization's data governance processes, policies, guidelines and responsibilities for administering an organizations' entire data in compliance with policy and/or regulatory obligations.

  4. Data Entry Specialist Job Description - AOL

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

    Becoming a data entry specialist may not exactly be the dream job you've always hoped for, but there are some very good reasons why you may want to consider this position while you are looking for ...

  5. Data entry - Wikipedia

    en.wikipedia.org/wiki/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.

  6. Information systems technician - Wikipedia

    en.wikipedia.org/wiki/Information_systems_technician

    In many companies, these technicians assemble data sets and other details needed to build databases. This includes data management, procedure writing, writing job setup instructions, and performing program librarian functions. Information systems technicians assist in designing and coordinating the development of integrated information system ...

  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 from that data to solve problems in other application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, and summarizing