Salary for Entry-level / Junior Data Analyst in Australia during 2024

Salary details

The average entry-level / junior Data Analyst salary lies between USD 93,295 and USD 111,051 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 Entry-level / Junior Data Analyst roles

The three most common job tag items assiciated with entry-level / junior Data Analyst job listings are SQL, Python and Excel. 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 | 5189 jobs Python | 3844 jobs Excel | 3615 jobs Data analysis | 3535 jobs Power BI | 3220 jobs Statistics | 3137 jobs Tableau | 2752 jobs Engineering | 2459 jobs Data Analytics | 2113 jobs Computer Science | 2030 jobs Research | 2018 jobs R | 2000 jobs Data visualization | 1736 jobs Finance | 1601 jobs Mathematics | 1571 jobs Data quality | 1467 jobs Data management | 1434 jobs Testing | 1261 jobs Security | 1236 jobs Business Intelligence | 1196 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Data Analyst roles

The three most common job benefits and perks assiciated with entry-level / junior 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 | 4478 jobs Health care | 2718 jobs Flex hours | 2296 jobs Competitive pay | 1488 jobs Team events | 1481 jobs Startup environment | 1369 jobs Equity / stock options | 1303 jobs Insurance | 1224 jobs Flex vacation | 1156 jobs Salary bonus | 1063 jobs Parental leave | 871 jobs Medical leave | 856 jobs Wellness | 712 jobs 401(k) matching | 545 jobs Fitness / gym | 253 jobs Home office stipend | 224 jobs Relocation support | 197 jobs Transparency | 193 jobs Gear | 177 jobs Flexible spending account | 165 jobs

Salary Composition

In Australia, the salary composition for an entry-level or junior data analyst role typically includes a fixed base salary, which forms the bulk of the compensation package. This base salary can vary significantly depending on the region, industry, and company size. For instance, tech companies or financial institutions in major cities like Sydney or Melbourne might offer higher base salaries compared to smaller firms or those located in regional areas.

In addition to the base salary, some companies offer performance-based bonuses, which can be a percentage of the base salary. These bonuses are often tied to individual performance metrics or company-wide goals. Additional remuneration might include benefits such as health insurance, retirement contributions, and sometimes stock options, especially in larger tech firms or startups.

Increasing Salary

To increase your salary from an entry-level position, consider the following steps:

• Skill Enhancement: Continuously upgrade your skills in data analysis, machine learning, and related technologies. Proficiency in tools like Python, R, SQL, and data visualization software can make you more valuable.
• Advanced Education: Pursuing further education, such as a master's degree in data science or a related field, can open up higher-paying opportunities.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online forums, and connecting with peers on platforms like LinkedIn.
• Certifications: Obtain relevant certifications that can validate your skills and knowledge, making you a more attractive candidate for higher-level positions.
• Experience: Gain diverse experience by working on various projects, which can demonstrate your ability to handle complex data challenges.

Educational Requirements

Most entry-level data analyst positions require at least a bachelor's degree in a related field such as data science, computer science, statistics, mathematics, or engineering. Some employers may also consider candidates with degrees in business or economics if they have strong analytical skills and relevant coursework or experience in data analysis.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field. Some popular certifications include:

• Microsoft Certified: Data Analyst Associate
• Google Data Analytics Professional Certificate
• IBM Data Science Professional Certificate
• Certified Analytics Professional (CAP)
• SAS Certified Data Scientist

These certifications can provide you with a structured learning path and validate your skills to potential employers.

Experience Requirements

For an entry-level data analyst role, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your studies. Experience with data manipulation, statistical analysis, and familiarity with data visualization tools is often expected. Demonstrating your ability to work with large datasets and extract meaningful insights is crucial.

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