- Apply your data management and analysis expertise to climate and disaster management projects
- Contribute to a multi-agency response to support improved preparation for, response to and recovery from natural disasters in Australia
- Collaborative environment with incredible flexibility and work conditions
At CSIRO, we solve the greatest challenges through innovative science and technology. We are Australia's national science agency and innovation catalyst, collaborating to boost Australia's innovation performance. We have partnered with the Bureau of Meteorology, Geoscience Australia, and the Australian Bureau of Statistics in creating the newly established Australian Climate Service (ACS) to address recommendations into National Natural Hazard Arrangements. The ACS will be the Commonwealth’s trusted provider of data, information and knowledge to support improved preparation for, response to and recovery from natural disasters, reducing risk and building resilience, in Australia. It brings together Australia’s leading climate and natural disaster information and expertise in a customer-led and mission-focussed national capability.
A number of newly created roles are available to support delivery of the ACS portfolio of projects and will be based within CSIRO Land & Water (L&W). Through an integrated systems research approach CSIRO L&W provides the information and technologies required by government, industry and the Australian and international communities to protect, restore, and manage natural and built environments.
As the Data Manager / Analyst, you will undertake data management and analysis tasks. The data management tasks include: identifying, establishing and maintaining data streams; collating and curating incoming datasets; producing and managing metadata; harmonising, standardising and integrating datasets and use of big data; conducting data integrity and quality checks; managing data privacy and ethics; designing/conducting meta-analyses and supporting the design of information models, schemas and ontologies to underpin scalable integrated modelling capabilities; support the development and use of API’s and data provisioning. Data analysis tasks will include: preparing analysis-ready data; assessing the quality, utility and fitness for purpose of input data; supporting the development and operation of data processing workflows and coding specific processing steps; managing processing workflows; assessing modelling outputs and supporting analysis and interpretation of results.
Applications are invited across two job classification levels and the successful candidate will be appointed at the level commensurate with their skills and experience.