Data Analyst Salary in Australia during 2024

Salary details

The average Data Analyst salary lies between USD 100,354 and USD 117,519 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: Nov. 24, 2024

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 | 9824 jobs Python | 7155 jobs Data analysis | 6389 jobs Statistics | 6089 jobs Excel | 5844 jobs Tableau | 5631 jobs Power BI | 5241 jobs Engineering | 4803 jobs Data Analytics | 3950 jobs Computer Science | 3704 jobs R | 3700 jobs Research | 3525 jobs Data visualization | 3472 jobs Mathematics | 3056 jobs Finance | 3030 jobs Data quality | 2724 jobs Testing | 2599 jobs Business Intelligence | 2410 jobs Data management | 2347 jobs Security | 2166 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 | 8008 jobs Health care | 5211 jobs Flex hours | 4023 jobs Competitive pay | 2962 jobs Startup environment | 2722 jobs Team events | 2655 jobs Equity / stock options | 2607 jobs Insurance | 2384 jobs Flex vacation | 2296 jobs Salary bonus | 2026 jobs Parental leave | 1855 jobs Medical leave | 1769 jobs Wellness | 1447 jobs 401(k) matching | 1263 jobs Fitness / gym | 518 jobs Home office stipend | 469 jobs Transparency | 460 jobs Unlimited paid time off | 378 jobs Gear | 377 jobs Flexible spending account | 352 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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