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  2. 8 Remote Gigs That Pay at Least $60K a Year To Start - AOL

    www.aol.com/8-remote-gigs-pay-least-130034775.html

    Data Analyst. Average salary: $67,302 according to Payscale. ... The tourist industry is fast-paced and evergreen, and the following gig offers remote work at a solid starting salary.

  3. 15 Low-Stress, High-Paying Jobs to Pursue - AOL

    www.aol.com/15-low-stress-high-paying-140000914.html

    And like other IT gigs, the pay isn’t bad for this one. The median salary for a computer systems analyst is $103,800. Also, the BLS estimates computer systems analysts have an 11% job growth ...

  4. List of gig economy companies - Wikipedia

    en.wikipedia.org/wiki/List_of_gig_economy_companies

    Providers (gig workers) engaged by the on-demand company provide the requested service and are compensated for the jobs. [1] [2] In 2019, Queensland University of Technology published a report stating 7% of Australians participate in the gig economy. [3] 10% of the American workforce participated in the gig economy in 2018. [4]

  5. The 18 Best Gig Jobs & Side Hustles for 2024 - AOL

    www.aol.com/18-best-gig-jobs-side-125700360.html

    Best Gig Jobs in 2024: Top Side Hustles and Remote Gigs The term "gig economy" refers to a labor market characterized by short-term contracts or freelance work instead of long-term employment.

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Analysts may apply a variety of techniques, referred to as exploratory data analysis, to begin understanding the messages contained within the obtained data. [30] The process of data exploration may result in additional data cleaning or additional requests for data; thus, the initialization of the iterative phases mentioned in the lead ...

  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.