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

Salary details

The average entry-level / junior Data Analyst salary lies between USD 95,010 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: Nov. 24, 2024

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 | 4742 jobs Python | 3537 jobs Excel | 3324 jobs Data analysis | 3236 jobs Power BI | 2909 jobs Statistics | 2849 jobs Tableau | 2539 jobs Engineering | 2233 jobs Data Analytics | 1933 jobs Research | 1887 jobs Computer Science | 1852 jobs R | 1842 jobs Data visualization | 1567 jobs Finance | 1454 jobs Mathematics | 1434 jobs Data quality | 1347 jobs Data management | 1297 jobs Testing | 1165 jobs Security | 1142 jobs Business Intelligence | 1117 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 | 4099 jobs Health care | 2476 jobs Flex hours | 2114 jobs Competitive pay | 1373 jobs Team events | 1351 jobs Startup environment | 1278 jobs Equity / stock options | 1173 jobs Insurance | 1131 jobs Flex vacation | 1062 jobs Salary bonus | 958 jobs Parental leave | 791 jobs Medical leave | 780 jobs Wellness | 653 jobs 401(k) matching | 510 jobs Fitness / gym | 227 jobs Home office stipend | 201 jobs Transparency | 176 jobs Relocation support | 170 jobs Flexible spending account | 156 jobs Gear | 154 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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