The Department is looking for high performing data analysts to work in a complex, fast-paced and technically challenging data environment. The junior data analysts will work with experienced staff to solve a variety of data engineering and data science problems. The goal of all our work is to derive meaningful insights that improve policy and operational outcomes for the quality of Australian life and natural environment. The team is divided into two main streams: 1.Data engineering – cleanse, curate, integrate diverse data sources in order to add value to raw data 2.Data science – apply statistical or machine learning techniques to extract data insights for predefined outcomes In either stream, the data analysts will conduct activities under direction including: a)Speak with business stakeholders to understand their business processes and objectives b)Design and develop data products that support those business outcomes c)Adhere to rigorous programming practices and team programming conventions d)Effectively communicate technical concepts to non-technical audiences e)Produce a range of documentation that will be specific to business including technical documents, work flows, diagrams, business requirements documents and other requested documentation. The team is predominantly SQL and Python based, though PowerShell and DAX may be used. Responses to selection criteria are mandatory. Responses that say “refer to CV” will not be assessed.