How to become a Big Data Analyst

A big data analyst is someone who specialises in the analysis and presentation of large and complex data sets. This includes the identification, collection and analysis of big data for the purpose of improving decision making and gaining a competitive advantage in the market.

Personal requirements of a Big 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 communication skills
  • Able to accept responsibility
  • Willing to continually update skills and knowledge

Education & Training for a Big Data Analyst

To become a big data analyst, you usually need a degree in maths, statistics, computer science, information management, finance or economics. 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.

Duties & Tasks of a Big Data Analyst


  • 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 large, multiple data sets
  • present data and findings for a range of audiences.

Working conditions for a Big 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 Big Data Analyst

Big 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.

Avg. weekly wage:


Future growth:


Employment by state:

ACT 7.4%

NSW 33%

NT 0.8%

QLD 15%

SA 5.6%

TAS 1.4%

VIC 28.2%

WA 8.7%

Hours worked:



Lower unemployment

Gender split:

Male 79%

Female 21%

Education level:

Not completed Year 12: 3.2%

Highest qualification is secondary school: 13.8%

Highest qualification is a Certificate 3 or 4: 9.5%

Highest qualification is a Diploma or Advanced Diploma: 16.2%

Highest qualification is a Bachelor degree: 38.3%

Highest qualification is a Postgraduate Diploma or Graduate Certificate: 18.1%

Age brackets:

15-19 - 0.1%

20-24 - 6.1%

25-34 - 26.8%

35-44 - 22.6%

45-54 - 19.5%

55-59 - 8.2%

60-64 - 7.1%

65 and Over - 9.5%

*The data above is sourced from the Department of Employment’s Job Outlook website.

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