Number of DS jobs
Which State has most job oppotunities?
Firstly, Let's see the distribution of job opportunities across various Australian states. The State choroplete provides valuable insights into the number of jobs available in each state, allowing us to gain a better understanding of the employment landscape in Australia.
The data reveals that New South Wales (NSW) has the highest number of job openings, with a total of 295. Victoria (VIC) closely follows with 245 job opportunities. These two states emerge as the top contenders in terms of job availability, indicating a robust job market and potential economic growth.
Western Australia (WA) stands out with 81 job openings, showcasing a significant number of employment prospects. Queensland (QLD) also boasts a respectable number of jobs, with 48 opportunities. These states offer attractive options for job seekers and contribute to the overall employment sector.
The data further highlights that South Australia (SA) provides 20 job openings, while the Australian Capital Territory (ACT) and Tasmania (TAS) offer 19 and 3 job opportunities, respectively. Although these figures are relatively smaller compared to the leading states, they still contribute to the overall employment landscape.
On the other hand, the Northern Territory (NT) records the lowest number of job openings, with only 1 opportunity. While this may indicate a relatively smaller job market in the region, it also presents potential areas for growth and development.
Seniority Level Employment Type
What is most hottest job type?
In this section,we explore the distribution of job roles within the fields of Data Analysis, Data Engineering, and Data Science.
The stacked bar charts provide an overview of the number of job positions available across different experience levels and different employment type within each role.
Obviously, Data engineer is the hottest type of jobs in Australia.
Data Analysts:
The majority of Data Analyst roles are available at the Associate and Mid-Senior levels, with 61 and 59 positions respectively. Entry-level positions follow closely behind with 55 openings. There is a single Director-level position and an Internship opportunity within the Data Analyst field.
Data Engineers:
In the Data Engineering domain, Mid-Senior level positions account for the highest number with 164 openings, followed by Associate positions with 84 opportunities. Entry-level roles positions is 83. There are no Director-level positions or Internship opportunities within Data Engineering.
Data Scientists:
For Data Scientists,Mid-Senior level positions have the highest count with 38 openings, while Associate positions come in second with 26 opportunities. Entry-level roles and 12 positions respectively. Similar to Data Analysts, there is a single Director-level position but no Internship opportunities in the Data Science field.
How jobs types vary across different cities?
Melbourne and Sydney Stand Out: Melbourne and Sydney emerge as the prominent cities for Data Analysis roles. These cities demonstrate a robust demand for data-driven professionals, reflecting the strong presence of industries that require data analysis expertise.
Brisbane demonstrates a balanced distribution of Data Analysis roles with 47 positions available, including Data Engineer (31), Data Scientist (7), and Data Analyst (9) positions.
Perth excels in Data Engineering, providing 54 positions, while also offering Data Scientist roles (8) and a moderate number of Data Analyst positions (18).
Adelaide and Canberra showcase a balanced distribution across Data Analysis, Data Engineering, and Data Science roles, providing diverse opportunities in these fields.
Other cities like Hobart, Newcastle, Richmond, and Lucknow offer smaller but varied job opportunities in the data field, contributing to the overall data job market in Australia.
What the most needed skills?
In today's data-driven world, the skills required for various data-related roles have been evolving rapidly. To succeed in the field of data science, professionals need a solid foundation in SQL, Python, Azure, and AWS. These four skills have emerged as the most popular and sought-after competencies across the industry.
In summary, the world of data science demands a diverse skill set that grows in complexity as one progresses from data analyst to data engineer and finally to data scientist. While SQL and Python form the foundation for all roles, data engineers and data scientists benefit from expertise in cloud platforms like Azure and AWS, as well as advanced coding skills.

Data Scource

https://www.kaggle.com/datasets/austinnguyen00/data-jobs-in-australia?resource=download
https://www.kaggle.com/datasets/maryamalizadeh/worldcities-australia

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