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2. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

3. Business analyst - Wikipedia

   en.wikipedia.org/wiki/Business_analyst

   Business analyst. A business analyst ( BA) is a person who processes, interprets and documents business processes, products, services and software through analysis of data. [1] [2] [3] The role of a business analyst is to ensure business efficiency increases through their knowledge of both IT and business function. [4]

4. Data steward - Wikipedia

   en.wikipedia.org/wiki/Data_steward

   Data steward. A data steward is an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets. A data steward may share some responsibilities with a data custodian, such as the awareness ...

5. Chief analytics officer - Wikipedia

   en.wikipedia.org/wiki/Chief_analytics_officer

   Chief analytics officer ( CAO) is a job title for the senior manager responsible for the analysis of data within an organization, such as a listed company or an educational institution. The CAO often reports to the chief executive officer . This position, along with that of chief information officer has risen to prominence due to the rise in ...

6. Best Jobs for People with ADHD - Healthline

   www.healthline.com/health/adhd/best-jobs

   Hands-on jobs that require creativity can be a good fit for some people with ADHD. These types of jobs often combine creativity and problem-solving — areas where people with ADHD often excel ...

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 ...