How to become a Data Analyst

Data analysts identify, collect and analyse data for the purpose of improving decision making and gaining a competitive advantage in the market.

Personal requirements for a Data Analyst

  • Able to think logically and analytically in a problem-solving environment
  • Imaginative, with skills in creative reasoning
  • Able to work independently or as part of a team
  • Good oral and written communications
  • Able to accept responsibility
  • Willing to continually update skills and knowledge

Education & Training for a Data Analyst

To become a data analyst, you usually have to complete a degree in maths, statistics, computer science, information management, finance or economics at university. These subjects place heavy emphasis on statistical and analytical skills. To get into these courses, you usually need to gain your Senior Secondary Certificate of Education. Prerequisite subjects, or assumed knowledge, in one or more of English, mathematics, chemistry and physics are normally required. Universities have different prerequisites and some have flexible entry requirements or offer external study. Contact the institutions you are interested in for more information. For further details, visit gooduniversitiesguide.com.au.


Duties & Tasks of a Data Analyst

Data analysts:

  • Research how data is used and look at ways to improve use and efficiency
  • Review and develop collection systems, processes and reporting
  • Write reports describing findings, sometimes for publication
  • Translate and extrapolate data
  • Cross-reference and draw inferences from data sets
  • Present data and findings for a range of audiences.

Working conditions for a Data Analyst

Requires spending many hours sitting while using a computer, either in a commercial office or a home office. Makes extensive use of email and other forms of electronic communication.


Employment Opportunities for a Data Analyst

Data analysts work in a range of occupational environments. They work across a variety of industries, sometimes on a freelance basis. With experience and sufficient start-up money, there are opportunities for self-employment.


Specializations

Data Analyst

Data analysts identify, collect and analyse data for the purpose of improving decision making and gaining a competitive advantage in the market.

Big Data Analyst
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