OSCA 223231

Data Analyst

Overview

  • Employed persons

    23,300

  • Employment status

    86.1% Full time

    13.9% Part time

  • Median age

    36 years

  • Employment by sex

    42.2% Female

    57.8% Male

    Gender balanced

  • Indigenous employment share

    0.5%

  • Main employing industry

    Professional, Scientific and Technical Services

Indicator Data Analyst Total employment
Employed persons 23,300 12,049,400
Median age 36 years 40 years
Full-time share 86.1% 64.2%
Part-time share 13.9% 35.8%
Female employment share 42.2% 48.5%
Male employment share 57.8% 51.5%
Gender segregation intensity scale Gender balanced Gender balanced
Indigenous employment share 0.5% 2.2%
Main employing industry Professional, Scientific and Technical Services Health Care and Social Assistance
Note: N/A values indicate data are not available due to confidentiality or data reliability requirements.

Occupation overview

Data Analysts gather, process, analyse and interpret data using data analytical tools. They communicate findings through reports and data visualisations, such as charts and infographics.

What the occupation involves

  • Sets up processes to securely collect, store, process and validate data
  • Evaluates the accuracy and reliability of data
  • Analyses and interprets data to produce relevant statistics to describe and infer trends and patterns, solve problems and answer data-related queries
  • Applies data analytics and visualisation techniques to gain business insights
  • Prepares presentations and/or writes reports to communicate findings and support strategic decision-making
  • Implements and/or follows data management processes to ensure data is used ethically and in compliance with data governance standards and strategies
  • May write custom scripts and code in programming language to conduct analytical tasks

Common occupation titles

No alternative occupation titles are listed for this occupation.

Specialisations

No specialisations are listed for this occupation.

Skill level (education and experience level)

Skill level 1
equivalent to a university level qualification (Bachelor degree or higher).

Note: While skill levels are described using formal education levels, some people use a combination of informal learning, on-the-job training and personal experience to achieve an equivalent level.

Licensing or registration requirements

No licensing or registration requirements are listed for this occupation.

OSCA structure

Employment

On this page

    Industries

    Top 10 most common industries, 2021

    Data Analyst Total employment
    Industry Share of occupation Industry Share of occupation
    Professional, Scientific and Technical Services 19.6% Health Care and Social Assistance 14.5%
    Financial and Insurance Services 18.5% Retail Trade 9.1%
    Public Administration and Safety 17.7% Construction 8.9%
    Health Care and Social Assistance 6.4% Education and Training 8.8%
    Education and Training 6.3% Professional, Scientific and Technical Services 7.8%
    Information Media and Telecommunications 4.5% Public Administration and Safety 6.6%
    Electricity, Gas, Water and Waste Services 3.6% Accommodation and Food Services 6.5%
    Retail Trade 3.6% Manufacturing 5.9%
    Transport, Postal and Warehousing 3.2% Transport, Postal and Warehousing 4.5%
    Manufacturing 2.8% Financial and Insurance Services 3.7%
    Note: N/A values indicate data are not available due to confidentiality or data reliability requirements.

    States and territories

    Employment distribution by states and territories, 2021

    • New South Wales

      35.6%

    • Victoria

      31.9%

    • Queensland

      12.9%

    • South Australia

      4.9%

    • Tasmania

      1.2%

    • Northern Territory

      0.5%

    • Australian Capital Territory

      6.8%

    Data Analyst Total employment
    State / Territory Employment Share of occupation Employment Share of occupation
    New South Wales 8,300 35.6% 3,684,200 30.6%
    Victoria 7,400 31.9% 3,162,900 26.2%
    Queensland 3,000 12.9% 2,444,100 20.3%
    South Australia 1,100 4.9% 839,400 7.0%
    Western Australia 1,500 6.3% 1,306,200 10.8%
    Tasmania 280 1.2% 254,700 2.1%
    Northern Territory 110 0.5% 107,000 0.9%
    Australian Capital Territory 1,600 6.8% 248,600 2.1%
    Note: N/A values indicate data are not available due to confidentiality or data reliability requirements.

    Age and sex

    Employment distibution by age group and sex, 2021

    Data Analyst

    Total employment

    Age group Data Analyst Total employment
    15–24 years 8.5% 14.3%
    25–34 years 35.6% 22.7%
    35–44 years 31.1% 22.3%
    45–54 years 16.3% 20.4%
    55–64 years 7.3% 15.3%
    65–74 years 1.1% 4.3%
    75 years and over <0.1% 0.6%
    Note: N/A values indicate data are not available due to confidentiality or data reliability requirements.
    Sex Data Analyst Total employment
    Female 42.2% 48.5%
    Male 57.8% 51.5%
    Note: N/A values indicate data are not available due to confidentiality or data reliability requirements.

    On this page

      OSCA occupation profiles data

      This file contains data available from the OSCA Occupation Profile page.

      Use of this data must include the relevant attribution text provided.

      OSCA Occupation data - 2021 Census.xlsx

      xlsx 1236447

      Download

      Occupation Standard Classification for Australia (OSCA)

      Occupation Standard Classification for Australia (OSCA) is the skill-based classification used to categorise occupations across the Australian labour market. OSCA is used to define occupations across all official occupational statistics. OSCA replaces the Australian and New Zealand Standard Classification of Occupations (ANZSCO).

      Each job is classified to one, and only one, group of jobs at each level of the classification with no overlaps. This prevents the accidental double-counting of roles within the Australian labour market. For more information about OSCA, visit the What is OSCA information page, or the ABS website.

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