Data Analyst Kaitātari Raraunga

Data analysts identify and communicate trends in data using statistics and specialised software to help organisations achieve their business aims.

Data analysts may do some or all of the following:

  • work with clients to find out what information they need to help them make good business decisions 
  • gather or choose data for analysis
  • ensure the data is reliable 
  • identify trends and patterns within data
  • interpret numbers to gain business insights
  • create easy-to-understand written and visual reports and present their findings in person.

Physical Requirements

Data analysts spend a lot of time using computers, so they need to know how to use computer equipment properly to avoid occupational overuse syndrome (OOS).

Useful Experience

Useful experience for data analysts includes:

  • previous experience in data-related jobs such as data entry and research
  • on-the-job training through IT internships
  • data-related study and projects
  • volunteer work involving data.

Personal Qualities

Data analysts need to be:

  • highly analytical
  • curious and detail-oriented
  • good at problem solving
  • creative thinkers
  • good communicators.

Useful Experience

Useful experience for data analysts includes:

  • previous experience in data-related jobs such as data entry and research
  • on-the-job training through IT internships
  • data-related study and projects
  • volunteer work involving data.

Subject Recommendations

A tertiary entrance qualification is needed to enter further training. Useful subjects include digital technologies, maths, statistics and English.

For Year 11 to 13 students, the Gateway programme is a good way to gain industry experience.

Data Analysts can earn around $69K-$110K per year per year.

Chances of getting a job as a Data Analyst are good due to a shortage of people interested in this type of work.

Data analysts may progress into roles such as:

  • data scientists, who use more sophisticated techniques to deal with higher volumes of data
  • data engineers, who build the systems to capture data and the statistical analysis programs that data analysts use.

Data analysts may specialise in:

  • business intelligence – using a variety of specialised software and methodologies to analyse data
  • data assurance – checking for, and correcting errors in data
  • data quality – assessing how well the data is able to answer particular questions.

Data analysts may specialise in industry sectors such as:

  • finance
  • tertiary education
  • marketing and sales.
Data Analyst