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2. Entry-level job - Wikipedia

   en.wikipedia.org/wiki/Entry-level_job

   Entry-level jobs targeted at college graduates often offer a higher salary than those targeted at high school graduates. These positions are more likely to require specific skills, knowledge, or experience. [1] Most entry-level jobs offered to college graduates are full-time permanent positions and some offer more extensive graduate training ...

3. Computer operator - Wikipedia

   en.wikipedia.org/wiki/Computer_operator

   Overall the operator fills in as a lower level system administrator or operations analyst. Most operations departments work 24x7. A computer operator also has knowledge of disaster recovery and business continuity procedures. Formerly, this would have meant sending physical data tapes offsite, but now the data is more than likely transmitted ...

4. Technical support - Wikipedia

   en.wikipedia.org/wiki/Technical_support

   Tier III (or Level 3, abbreviated as T3 or L3) is the highest level of support in a three-tiered technical support model responsible for handling the most difficult or advanced problems. It is synonymous with level 3 support, 3rd line support, back-end support, support line 3, high-end support, and various other headings denoting expert level ...

5. 125 Creative Ways To Earn Extra Money in 2025 - AOL

   www.aol.com/125-creative-ways-earn-extra...

   Related: 50 Best Remote, Work-At-Home Jobs You Can Get Right Now. ... As a data entry clerk, you will be responsible for putting a high volume of data into a company's database, ensuring that all ...

6. Recruitment - Wikipedia

   en.wikipedia.org/wiki/Recruitment

   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 .

7. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.