Do you like to solve problems using data and analytics? Are you a Power BI guru? Do you like to work on a range of tasks and engage with different stakeholders? Look no further! This might be the position for you! This is an opportunity for individuals who are interested in data and analytics in the areas of workplace health and safety, workers' compensation and self-insurance to join the Data, Analytics and Finance Team (DAFT) within the Work Safety Group (WSG) in the Chief Minister, Treasury and Economic Development Directorate (CMTEDD). The Data and Analytics Officer is responsible for developing and curating datasets for analysis; and developing tools that facilitate better use of data and add value across a wide range of business processes. Duties also include providing a range of reporting and analytics services to other teams within the WSG, CMTEDD and other ACT Government Directorates and agencies as well as external stakeholders and partners. The successful candidate is expected to follow the principles of and support the delivery of a comprehensive data management framework. This position may involve direct supervision of personnel. We are committed to creating an inclusive environment where people with diverse thoughts, lived experience, and perspectives can thrive and contribute their unique talents to the ACTPS and ACT community. We encourage Aboriginal and Torres Strait Islander people, people with disability, people with culturally and linguistically diverse backgrounds, veterans, younger and older workers, and people with diverse genders, sexes and sexualities to apply. Hear about CMTEDD from some of our staff . Eligibility/ Other Requirements: Tertiary qualifications and/or equivalent relevant experience in actuarial studies, statistics, data science and other related discipline is highly desirable. Proficiency in Microsoft Excel and Power BI including dataflows is highly desirable. Experience in the areas of insurance, work health and safety, work-related injury management or workers’ compensation would be an advantage. Experience with contemporary data discovery tools such as Microsoft SQL, Python, SAS, R or equivalent would be an advantage. Note: This is a temporary position available immediately up to the end of December 2025 with the possibility of extension and/or permanency. An order of merit may be established from this selection process and may be used to fill future identical vacancies over the next 12 months. Selection may be based on application and referee reports only. Please note, this position is in a workplace designed for activity-based working (ABW). Under ABW arrangements, officers will not have a designated workstation/desk. How to Apply: Please provide: A written response of no longer than two pages, addressing the Capabilities outlined in the Position Description document and describing why you would be a good fit for the role. A copy of your current curriculum vitae. You are welcome to provide copies of qualifications, certifications etc to support your application - subject to a limit of 10MB and 10 documents per application. Applications should be submitted via the Apply Now button below. LI-DNI Note This is a temporary position available immediately up to the end of December 2025 with the possibility of extension and/or permanency
