Data Analyst Salary in Sydney, New South Wales
$58K
20% Low Band Avg
AUD $69K
Average
$83K
80% High Band Avg
- Bonus: 4,398
Salaries based on experience level
The Average Entry Level salary of Data Analyst in Sydney, New South Wales is AUD $68K/yr, this salary increases 24% to $85K/yr when reach Mid Level Career.
From Mid to Senior Level the average salary increases 29% from $85K/yr to $111K/yr.
Salary Compared to Australia National Average Salary
- Data Analyst in Sydney, New South Wales Salary
- vs
- Data Analyst in Australia Salary
The Average Salary of Data Analyst in Sydney, New South Wales is $69K/yr. This is 0% higher ($-157) compared to Australia national average salary of $70K/yr.
Salary Compared to Sydney City Average Salary
- Data Analyst in Sydney, New South Wales Salary
- vs
- Sydney, New South Wales City Average Salary
The Average Salary of Data Analyst in Sydney, New South Wales is -8% lower (-6,704) than the average salary for the city of Sydney, New South Wales $76K/yr.
Data Analyst job description
Job Title: Data Analyst
Overview/Summary of the role:
A data analyst is responsible for analyzing large sets of data and translating that data into actionable insights that can be used to help a business make better decisions. The role requires an individual who is able to collect, organize, and interpret data from a variety of sources, and then present that data in a meaningful way to stakeholders.
Responsibilities and Duties:
- Collect, organize, and analyze data from a variety of sources
- Identify trends and patterns in data sets and make recommendations based on those findings
- Work closely with stakeholders to understand their business needs and provide data-driven insights to support decision making
- Develop and maintain reports and dashboards to display key metrics and data trends
Data Analyst interview questions
Interviewer: Good morning/afternoon, can you tell us a bit about yourself and your experience in data analysis?
Candidate: Sure, my name is [Name] and I have 3 years of experience as a data analyst. I have worked in various industries such as healthcare and finance, and have experience in collecting, cleaning, analyzing and visualizing large datasets.
Interviewer: What are some of the tools and technologies you have used as a data analyst?
Candidate: I have used SQL, Python, R, Excel, Tableau and Power BI for data manipulation, analysis and visualization. I am also proficient in statistical analysis and predictive modelling using these tools.
Interviewer: Can you walk us through your data analysis process from start to finish?
Candidate: Sure. It involves understanding the problem statement, collecting data from various sources, cleaning and pre-processing the data, performing exploratory data analysis, developing statistical and machine learning models, and visualizing the results using appropriate tools.