Data Analyst
Analyse data, uncover patterns and turn information into insights that help organisations make better decisions.
What They Do
Data Analysts collect, clean, organise and analyse information to identify patterns, trends and relationships. They use data to answer business questions and turn large amounts of information into insights that people can understand and act on.
Their work can include building dashboards, analysing customer or operational performance, preparing reports, checking data quality and presenting findings to managers and other stakeholders. Common tools include spreadsheets, SQL, data visualisation platforms and increasingly programming and automated analytics tools.
Data Analysts work across industries including technology, finance, healthcare, government, retail, consulting, education and professional services.
Jobs and Skills Australia's new classification places Data Analysts within Data Professionals, alongside Data Architects, Data Engineers and Data Scientists.
Who This Career Suits
This career can suit people who enjoy working with numbers, information and technology while also wanting their work to influence real decisions.
Strong Data Analysts tend to be naturally curious and enjoy investigating why something happened rather than simply reporting the result. The role particularly suits analytical thinkers who can pay attention to detail while still seeing the bigger picture.
Communication is also important because analysts regularly need to explain technical findings to colleagues who may not have a data background.
Key Skills
Analytical Thinking, Problem Solving, Data Analysis, Attention to Detail, Communication, Technology, Data Visualisation, Critical Thinking
Work Environment
Office, Hybrid, Remote, Corporate, Team-Based
Education & Training
A bachelor's degree in data science, analytics, statistics, mathematics, computer science, information technology, business analytics or a related discipline is a common pathway into data analysis.
Jobs and Skills Australia classifies Data Professionals at Skill Level 1, equivalent to a bachelor's degree or higher, although it notes that relevant experience and other learning can sometimes provide equivalent capability. Jobs and Skills Australia
Alternative pathways are increasingly available through vocational qualifications, industry certifications and practical training in tools such as Excel, SQL, Power BI, Tableau and Python. Building a portfolio of real analysis projects can be particularly useful when applying for entry-level positions.
Career Changer Pathway
Data analysis can be an attractive career-change option because analytical skills exist in many other occupations. People coming from finance, accounting, sales, marketing, operations, science, administration or project management may already have experience interpreting information and reporting results.
A career changer can build technical capability in spreadsheets, SQL and visualisation tools before developing a portfolio using real or publicly available datasets. Moving first into an analytics-related position within an industry they already understand can provide another pathway into the profession.
Early Career
Early-career Data Analysts commonly clean datasets, produce recurring reports, maintain dashboards and perform straightforward analysis under the guidance of more experienced analysts.
This stage is heavily focused on developing technical capability, understanding data quality and learning how an organisation uses information to make decisions.
Mid Career
Experienced Data Analysts generally take ownership of more complex analysis, build sophisticated dashboards and work directly with stakeholders to determine what information they need.
They may specialise in areas such as customer analytics, marketing analytics, financial analysis, operations, product analytics or business intelligence.
Senior / Veteran Career
Senior Data Analysts can lead major analytical projects, mentor analysts and advise senior decision-makers on strategy and performance.
Career progression can also lead toward roles such as Analytics Manager, Business Intelligence Lead, Data Scientist, Data Consultant, Data Engineer or Head of Analytics.
Salary Guide
Early Career
75000
Mid Career
105000
Senior / Veteran
130000
Indicative annual salary (AUD)
Indicative annual salary (AUD)
Indicative annual salary (AUD)
Salary data source:
Indeed Australia
Salary data source URL:
Date :
2 October 2026 at 12:00:00 am
Career Outlook
Data analysis has become an established professional occupation as organisations increasingly use data to understand customers, improve operations, measure performance and support decision-making.
Importantly for this page, Australia's new OSCA classification now identifies Data Analyst as a distinct occupation (223231) within the Data Professionals group. Jobs and Skills Australia describes Data Professionals as people who design analytical frameworks and apply tools and techniques to gather, process, analyse, interpret and present data for strategic planning and decision-making. Jobs and Skills Australia
The new OSCA occupation profiles are still being expanded. Jobs and Skills Australia says additional Labour Force Survey information, employment projections and median earnings are scheduled to be incorporated as the transition progresses, with the next major profile update planned for November 2026.
Job Outlook :
Outlook Source :
Strong
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