Data Analyst
About the Role
A Data Analyst is an IT professional who gather’s raw data on specific topics using data analysis tools then interpret and present this to an organisation to help identify ways to reduce costs, grow revenue, investments, pricing, hiring, operations or scheduling.
They use software and programming skills to translate statistics then present meaningful, easy to understand reports on their findings using presentations, graphs and simulations, which helps businesses and organisations create a competitive advantage in the marketplace.
There are different types of data analysts including operations analysts, marketing analysts, financial analysts, etc.
Key Industries for employment opportunities are extremely broad ranging from and not limited to: Information Technology & Services, Computer Software, Staffing & Recruiting, Financial Services, Banking, Accounting, Marketing & Advertising, Online Media, Internet, etc.
Salary Expectation: $90,000 – $120,000
Qualifications, Training, Licenses
Bachelor’s degree in a relevant discipline such as Mathematics, Statistics, Computer Science, Engineering or Information Technology and relevant on-the-job experience.
Knowledge & Capabilities
Able to understand, edit and create programming languages using programmes such as Python, SQL, R and SAS.
Maintain current knowledge of the current technologies, processes and techniques used in data analytics.
Apply algorithms and statistical analysis to cleaned data
Able to identify patterns, trends and anomalies within data-sets.
Gather and process raw data (facts, figures, and number crunching) to analyse and find correct conclusions.
Experience maintaining databases.
Understand system architecture, system changes, and testing needs.
Strong communicator who can liase with management to translate and present findings in an easy format (models, simulations, predictions and forecasts, graphs and visualisations).
World Capabilities
Data Agile
Change Engager
Critical Thinker
Artful Communicator
Pathway - Formal
Bachelor’s degree in relevant discipline such as Mathematics, Statistics, Computer Science, Engineering or Information Technology and relevant on-the-job experience.
