Tasmania and the UN Sustainable Development Goals

Data Analyst

University Qualified

Data Analysts collate and assess raw data to assist the business to achieve greater efficiencies, prepare complicated data in a way that can be read by non-technical people and develop solutions for organisational problems.

Data Analysts use computers to program, write software, enter data or process information.

Data Analysts also audit operating procedures, and compile workflow charts and reports to assist in preparing recommendations for a business to implement.

To do this role you will need to build excellent ICT knowledge, programming and systems evaluation skills and have the ability to communicate complicated information in a simple way.

We create charts and reports so any non technical person can see what things we can improve.” – Himanshu, Liberty Bell Bay

1
Average age
1 %
females
1 %
full time
1
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Tasks for this role

  • Using automated tools to extract data from primary and secondary sources
  • Removing corrupted data and fixing coding errors and related problems
  • Developing and maintaining databases, and data systems.
  • Performing analysis to assess the quality and meaning of data
  • Filter Data by reviewing reports and performance indicators to identify and correct code problems
  • Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Analysing local, national, and global trends that impact both the organisation and the industry
  • Preparing reports for the management stating trends, patterns, and predictions using relevant data
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise¬†data governance¬†strategies.¬†
  • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends

Characteristics

  • Very high skill level
  • Below Average Unemployment
  • Practical, Analytical and Administrative
  • Sedentary/Light physical demand

Education Pathways

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