Data Analyst salary in Australia: Complete guide for 2025
25 Sep 2024

The role of a data analyst is growing as companies have started relying on data to make informed decisions. The need for a data analyst is increasing in almost all industries like finance, retail, healthcare and technology. Businesses are trying their level best to hire the best data analysts, making the profession more in demand with highly competitive salaries. The opportunity for growth in the profession of data analysis is constant. Whether you are a fresher, just entering the market exploring or a professional data analyst looking for competitive roles, Australia is an ideal location. This guide will help you explore the data analyst salary in Australia. It will navigate you through the roles of data analysts, the scope of data analysts in Australia, factors influencing the salary of data analysts in Australia and data analyst salaries in Australia.
Role of a Data Analyst
Data analysts play a very crucial role in managing raw data and making them into meaningful data for decision-making. Check out the role of a data analyst in detail-
- Collect raw data and organise the data for the company to use for decision-making.
- Data analysts, clean the data for more accurate information and reliability.
- Read and analyse data to check out the trends and correlations.
- Use different statistical tools to interpret the data for the company.
- Create presentations and presentation charts for others to understand the data well.
- Discuss and communicate the data with stakeholders and give recommendations for improvement.
- Collaborate with organisations and help in decision-making using accurate data in areas like operations, strategy making and marketing.
- Data analysts make sure of the accuracy of the data and data integrity.
- Collaborate with other departments of the company and use data-driven decisions to make future plans for the growth of the company.
Scope of Data Analyst in Australia
The scope of data analysis in Australia is very broad with high competitive salaries. Industries rely on data-given decisions for expansion. A few key aspects include-
High demand across industries
The demand for data analysts is very huge in almost all the sectors. The main sectors with demand are Finance, healthcare, retail, education and technology.
Growing job market
Australia is now shifted to Digital evaluation and focuses more on digitaltransformation. Due to this reason, the demand for data annual lists in Australia is increasing leading to a growing job market.
Career growth
The salary for a data analyst is usually very high in Australia. We can also grab senior roles such as senior data analyst, data scientist, business intelligence analyst, or data engineer. This leads to higher earning potential.
Technological advancement
As the demand for AI and machine learning is growing, the need for data analysts also expands. With technological advancements, the demand for data analysts will also expand in Australia and globally.
Attractive salary
The salary package for a data analyst is very competitive and attractive in Australia. This attracts many individual professionals to Australia for career growth.
Opportunities for specialisation
There is a lot of scope for specialisation in the field of data analysis. They can specialise in fields like healthcare analytics, finance, marketing and big data. They get a chance to make their career on the basis of what interests them.
Flexible work environment
Many companies now offer hybrid mode and work-from-home options. Please provide more global opportunities and a flexible work environment for professionals.
Factors influencing the salary of Data Analysts in Australia
Here are a few factors influencing the salary of a data analyst in Australia-
Experience level
With the increase in experience, the salary for a data analyst profession also increases. The average salary is around AUD 85,000 to AUD 100,000.
Location
Cities like Sydney and Melbourne with higher demand and a higher cost of living, pay higher salaries to data analyst professionals.
Industry
In different sectors like finance and government where the demand is higher, the salary is also higher.
Education
Candidates with a master's degree or specialisation get higher pay compared to candidates with only a bachelor's degree.
Demand
In cities, whether the demand is higher the salary for data analyst professionals is also higher compared to lower demand areas.
Job role
More specialised and demanding roles, such as Lead data analysts, Senior data scientists, data engineering analysts, business intelligence analysts and Quantitative analysts get higher pay.
Company size
Big and multinational companies Pay higher salaries to data analyst professionals, compared to small and start-up companies.
The average salary of a Data Analyst in Australia
- The salary of a data analyst completely depends on different factors such as specialisation, size of the company, industry, education, location and demand.
- The average salary ranges between AUD 85,000 to AUD 100,000 per year.
- For an entry-level data analyst, the salary is between AUD 60,000 to AUD 80,000 yearly.
Salary of a data analyst on the basis of experience
The salary of a data analyst in Australia varies on the basis of the experience they gain. As they gain more experience, their skill set also increases leading to higher pay. Check out the salary of the data analyst on the basis of experience below-
| Sr. No. | level of experience | average salary |
| 1 | entry-level (0-2 years) | AUD 60,000 to AUD 80,000 |
| 2 | mid-level (3-5 years) | AUD 85,000 to AUD 100,000 |
| 3 | senior level (5+ years) | AUD 100,000 to AUD 120,000 |
| 4 | Managerial roles | AUD 120,000 to AUD 150,000 |
The salary of a data analyst on the basis of location
The salary of a data analyst on the basis of location is dependable on different factors, such as cost of living, demand for professionals and the presence of industries. Big cities and urban areas pay more compared to small rural cities. Check out the breakdown below.
| Sr. No. | location | average salary |
| 1 | Sydney | AUD 85,000 to AUD 120,000 |
| 2 | Melbourne | AUD 80,000 to AUD 115,000 |
| 3 | Brisbane | AUD 75,000 to AUD 105,000 |
| 4 | Perth | AUD 75,000 to AUD 100,000 |
| 5 | Adelaide | AUD 65,000 to AUD 95,000 |
| 6 | Small rural areas | AUD 60,000 to AUD 85,000 |
The salary of a data analyst on the basis of specialisation
The salary of a data analyst significantly depends on the specialisation. With more complex specialisation, professionals require a more complex skill set, leading to higher pay. Below is a general breakdown on the basis of specialisation-
| Sr. No. | specialisation | average salary |
| 1 | business intelligence analyst | AUD 90,000 to AUD 130,000 |
| 2 | data science, and machine learning | AUD 100,000 to AUD 140,000 |
| 3 | big data analyst | AUD 95,000 to AUD 130,000 |
| 4 | healthcare data analyst | AUD 85,000 to AUD 120,000 |
| 5 | financial data analyst | AUD 95,000 to AUD 140,000 |
The salary of a data analyst on the basis of education
The salary of a data analyst depends on the basis of their education. With higher education, the chance of getting a better job increases leading to higher earning potential. Level of education plays a very critical role, check out the breakdown below.
| Sr. No. | Education level | Average Salary |
| 1 | Bachelor’s degree | AUD 70,000 to AUD 100,000 |
| 2 | Masters degree | AUD 90,000 to AUD 130,000 |
| 3 | Certification | 10% to 20% more |
Salary of a data analyst on the basis of industry
The salary of a data analyst in Australia depends on the industry and the demand in the industry. Industries, such as finance, healthcare, banking and technology pay more as it require more complex work and the demand is also high. Check out the salary of data analysts on the basis of different industries below-
| Sr. No. | Industry | Average Salary |
| 1 | Finance and banking | AUD 95,000 to AUD 140,000 |
| 2 | healthcare | AUD 85,000 to AUD 120,000 |
| 3 | retail and e-commerce | AUD 80,000 to AUD 110,000 |
| 4 | technology and IT | AUD 90,000 to AUD 130,000 |
| 5 | government and public sector | AUD 75,000 to AUD 105,000 |
The salary of a data analyst on the basis of company size
Big multinational companies in industries like finance, technology, and healthcare require more complex work leading to higher pay for data analysts. The size of the company plays a very crucial role in deciding the salary potential. Check out the breakdown below-
| Sr. No. | Size of the company | Average Salary |
| 1 | small companies (1-50 employees) | AUD 60,000 to AUD 85,000 |
| 2 | medium companies (51-200 employees) | AUD 75,000 to AUD 110,000 |
| 3 | multinational companies (200+ employees) | AUD 90,000 to AUD 130,000 |
Ways to increase the earning potential of a Data Analyst in Australia
Here are a few ways to increase the earning potential of a data analyst in Australia-
Gain advanced technical skills
To get a higher earning potential master in advanced technical skills like Python, R, SQL and many more.
Get certification
For better jobs and earning potential get certification from recognised industrial giants like Google, Microsoft or SAS.
Specialisation in high demand areas
If data analysts want to increase their earning potential they may get specialisation in high-demand areas like finance, healthcare analytics, and big data.
Take leadership roles
Grabbing leadership roles, such as senior data analyst, lead data scientist, or data manager will lead to higher salaries.
Acquire a business acumen
It is very important to understand how data is important and play an important role in business decision-making. Developing skills in areas such as business strategy or business intelligence will lead to high-paying jobs.
Network and stay updated
Professionals being updated with the latest trends in the market and growing their network can increase their earning potential.
Negotiation Salary
Candidates must know how to negotiate salaries while changing or job reviewing. The skill is important and leads to higher paying jobs.
Pursue higher education
Getting a masters degree will always lead to senior roles, hence getting higher pay then others.
Conclusion
The field of Data Analyst is very diverse and provides a lot of opportunities to international students. Professionals can expect a higher and more competitive salary as of 2025. Data Analyst in Australia promises financial rewards, job security and career growth to professionals and freshers. The salary is dependent on different factors such as location, industry, experience and any specific specialisation. It is important to stay updated with industry trends, earning potential, and relevant certifications. Professionals can get opportunities to position themselves well in the industry. The demand for Data Analysts in Australia and globally will remain strong. For professionals who are willing to make their career in data analysis, Australia is definitely an ideal location with a plethora of opportunities.
Important Resources
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Frequently Asked Questions
What is the average salary for a Data Analyst professional in Australia?
The average salary for a Data Analyst professional in Australia is around AUD 85,000 to AUD 100,000 yearly. Depends on factors like specialisation, location, industry and experience level.
What salary must a fresher expect in Australia for the Data Analyst profession?
An entry-level Data Analyst profession in Australia must expect a salary of around AUD 60,000 to AUD 80,000 yearly.
Does the salary of a Data Analyst profession in Australia differ on the basis of different cities?
Definitely, yes! The salary for a Data Analyst profession in Australia is higher in cities like Sydney and Melbourne. This is mainly due to high demand and high cost of living.
Name a few highest-paying, Data Analyst roles in Australia.
Highest paying roles include- Lead data analysts, Senior data scientists, data engineering analysts, business intelligence analysts and Quantitative analysts.
Is demand for Data Analysts increasing in Australia?
Yes, the demand for Data Analysts in Australia is increasing as companies are relying more to safeguard their data and manage the complex data of the company.
