Senior Data Analyst

The National Emergency Management Agency is seeking an experienced Senior Data Analyst/Scientist to support the delivery of key data and analytics initiatives within the Data, Business Operations and Technology Branch. The successful candidate will provide analytical expertise to support the Hazard Insurance Partnership, business-as-usual reporting and analytics activities, and the uplift of the agency's cloud-based analytics capability. The role will work closely with internal stakeholders and external partners, including the Australian Bureau of Statistics, the Australian Climate Service, and other government and industry stakeholders. The engagement will also support capability development within the National Emergency Management Agency through mentoring, knowledge sharing, and the adoption of contemporary analytics tools and practices, including Microsoft Fabric. Key duties and responsibilities The successful candidate will: Essential Be proficient in either R or Python. Have experience in data science, machine learning, or statistical analysis. Have strong analytical and problem-solving skills, including the ability to work with complex datasets. Desirable Experience working within the ABS DataLab environment. Key responsibilities Support the delivery of the Hazard Insurance Partnership (HIP) and associated analytical work programs within the ABS DataLab environment. Develop and maintain analytical products, dashboards, datasets and reporting solutions. Analyse complex datasets to identify trends, insights and opportunities that support evidence-based decision-making. Collaborate with internal and external stakeholders to gather requirements and deliver analytical outcomes. Contribute to data governance, data quality and documentation activities. Provide mentoring and knowledge transfer to agency staff to build internal analytics capability. Prepare briefing materials, reports, presentations and other analytical products for business stakeholders and executives. Work collaboratively across multidisciplinary teams, including data analysts, engineers, geospatial specialists and business stakeholders. Criteria The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters. Essential criteria 1. extent to which the potential Supplier’s Response meets NEMA’s requirement as set out in the Procurement 2. extent to which the potential Supplier demonstrates its capability and capacity to provide the requirements 3. The technical criteria for nominated personnel to be considered by the evaluation committee are: Data communication: Level 2 (DCF) Can develop and deliver effective narrative to communicate insights drawn from a range of data sources and outputs Can comfortably question data and results they are presented, and answer technical questions relating to their data, relevant to the audience Can communicate effectively between technical and non-technical experts across data production, management, or use, including clients, managers and data professionals Can effectively communicate the relationship between the data and the context in which it is used 4. The technical criteria for nominated personnel to be considered by the evaluation committee are: Integrate data: Level 1 (DCF) Has a basic understanding of how data can be linked with other data Understands what data integration is, including its benefits and limitations Understands what types of data can be combined for analysis 5. The technical criteria for nominated personnel to be considered by the evaluation committee are: Statistical data analysis: Level 2 (DCF) Can use specialist statistical applications for statistical models Is able to understand and amend existing code (programming language must include R or Python to be found suitable) to conduct analytical tasks 6. The technical criteria for nominated personnel to be considered by the evaluation committee are: Subject matter expertise: Level 2 (DCF) Has a comprehensive knowledge of the subject matter area associated with the data use and can readily identify the parameters of the subject matter that influence the use of the data Opportunity summary Sellers can submit Up to 5 candidates Number of sellers invited Fewer than 5 Number of candidates submitted Fewer than 10 RFQ closing time 00 Weeks 06 Days 12 Hours Send us feedback About Accessibility Privacy Terms of use Disclaimer and copyright An initiative of the Digital Transformation Agency The Australian Government acknowledges the Traditional Owners of Country throughout Australia and acknowledges their continuing connection to land, waters and community. We pay our respects to the people, the cultures and the Elders past and present. © Commonwealth of Australia