Data Analyst Salary in Australia during 2024

Salary details

The average Data Analyst salary lies between USD 98,582 and USD 120,859 in Australia. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 19, 2025

Top 20 Job Tags for Data Analyst roles

The three most common job tag items assiciated with Data Analyst job listings are SQL, Python and Data analysis. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

SQL | 10782 jobs Python | 7822 jobs Data analysis | 7057 jobs Statistics | 6664 jobs Excel | 6387 jobs Tableau | 6113 jobs Power BI | 5812 jobs Engineering | 5256 jobs Data Analytics | 4336 jobs Computer Science | 4086 jobs R | 4039 jobs Data visualization | 3842 jobs Research | 3794 jobs Finance | 3347 jobs Mathematics | 3332 jobs Data quality | 3004 jobs Testing | 2850 jobs Data management | 2605 jobs Business Intelligence | 2593 jobs Security | 2366 jobs

Top 20 Job Perks/Benefits for Data Analyst roles

The three most common job benefits and perks assiciated with Data Analyst job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 8794 jobs Health care | 5724 jobs Flex hours | 4404 jobs Competitive pay | 3255 jobs Startup environment | 2957 jobs Team events | 2912 jobs Equity / stock options | 2858 jobs Insurance | 2609 jobs Flex vacation | 2524 jobs Salary bonus | 2212 jobs Parental leave | 2039 jobs Medical leave | 1942 jobs Wellness | 1566 jobs 401(k) matching | 1368 jobs Fitness / gym | 574 jobs Transparency | 521 jobs Home office stipend | 511 jobs Gear | 438 jobs Unlimited paid time off | 400 jobs Flexible spending account | 391 jobs

Salary Composition

In Australia, the salary composition for a Data Analyst in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is divided into three main components:

• Fixed Salary: This is the base salary and usually constitutes the largest portion of the total compensation package. It is a guaranteed amount paid regularly, often on a monthly or bi-weekly basis.

• Bonus: Bonuses can be performance-based or company-wide and are often paid annually. The bonus percentage can vary widely, ranging from 5% to 20% of the base salary, depending on the company's performance and the individual's contribution.

• Additional Remuneration: This may include stock options, profit-sharing, or other incentives. Larger tech companies or startups might offer equity as part of the compensation package, which can be a significant financial benefit if the company performs well.

Increasing Salary

To increase your salary from a Data Analyst position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in advanced data analytics, machine learning, and AI technologies. Proficiency in programming languages like Python or R, and tools like TensorFlow or PyTorch, can make you more valuable.

• Advanced Education: Pursuing a master's degree or specialized certifications in data science or AI can open up higher-paying roles.

• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to opportunities in higher-paying companies or roles.

• Leadership Roles: Aim for leadership or managerial positions within your organization, which typically come with higher salaries.

Educational Requirements

Most Data Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as:

• Computer Science
• Data Science
• Statistics
• Mathematics
• Engineering

A master's degree or Ph.D. can be advantageous, especially for roles that require a deep understanding of machine learning algorithms and data modeling.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Data Analytics Professional Certificate
• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can provide a competitive edge and are often recognized by employers.

Experience Requirements

Typically, employers look for candidates with:

• 2-5 years of experience in data analysis or a related field.
• Experience with data visualization tools like Tableau or Power BI.
• Proficiency in SQL for database management and querying.
• Experience with statistical analysis and machine learning models.

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