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. For further details, visit www.gooduniversitiesguide.com.au.

Avg. weekly wage:

$1,590

Future growth:

very strong growth

Employment by state:

ACT 6.4%

NSW 33.8%

NT 1.1%

QLD 15.8%

SA 4.3%

TAS 0.9%

VIC 29.1%

WA 8.6%

Hours worked:

38.2

Unemployment:

average

Gender split:

Male 79.7%

Female 20.3%

Education level:

Not completed Year 10: 0%

Not completed Year 12: 4.6%

Highest qualification is secondary school: 14.2%

Highest qualification is a Certificate 3 or 4: 4.1%

Highest qualification is a Diploma or Advanced Diploma: 8.7%

Highest qualification is a Bachelor degree: 44.1%

Highest qualification is a Postgraduate Diploma or Graduate Certificate: 24.3%

Age bracket:

Below 35 years: 31.2%

Above 35 years: 68.9%

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




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