Senior Data Analyst

The Data Analytics and Modelling section of the Evaluation and Data branch of the Australian Research Council are seeking an APS6 Data Analyst. This successful candidate will be responsible for collecting, processing and analysing data from various sources, utilizing data, code and automation to contribute to complex data analytics projects. These data analytics projects include research funding policy modelling, research evaluation and metric design, preparation of advanced descriptive statistics and preparation of related forecasts. They will collaborate with Data Scientists, Data Engineers and senior staff, as well as work with a variety of stakeholders to develop products that meet the ARC’s data requirements. The Data Analyst will translate their analyses into reports, dashboards and other visualisation content to present their findings to diverse audiences. This role will also involve contributing to the design and implementation of data governance, data request procedures, and infrastructure enhancements to improve the ARC’s data capabilities. Key duties and responsibilities Provide timely, quality data support and services across the ARC, including analysing, interpreting, and undertaking quality assurance of data and data sets. Design and implement principles and techniques for collecting and organising data, then interpreting, visualizing and presenting quantifiable data analysis in the research evaluation space. Preparing reports, briefs, and other documents on your analysis to a high standard for a varied audience. Providing technical advice and expertise on data analytics issues, methods and tools. Contribute to good documentation practices that enable replicate processes for analysis, evaluation, monitoring and quality improvement. Maintain and develop technical knowledge through learning and development activities. Contributing to the achievement of organization objectives, business and operational plans 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. 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 2. Data outputs, products or services: Level 2 (DCF) Is responsible for the production of a data output, product or service. Can create data outputs or products and deliver data services in accordance with established processes and systems, and can explain decisions made at all stages 3. Identify research questions: Level 2 (DCF) Can identify and structure relevant research questions for specific needs, and develop the approach and specific measures to resolve those questions 4. Statistical data analysis: Level 2 (DCF) Can use specialist statistical applications for statistical models Is able to understand and amend existing code (programming language) to conduct analytical tasks 5. 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 3 candidates Number of sellers invited Fewer than 5 Number of candidates submitted Fewer than 10 RFQ closing time 01 Weeks 00 Days 06 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