Lead Data Analyst Data Analyst

We are seeking a skilled and motivated Data Analyst to support the delivery of data-driven insights and evidence-based decision-making across the Aged Care ICT landscape. The successful candidate will work with large and diverse datasets to identify trends, investigate issues, assess business impacts, and provide actionable insights to support operational, policy, and system improvement outcomes. Key duties and responsibilities Develop, maintain data extraction and analysis scripts to interrogate complex datasets. Analyse large volumes of data to identify trends, anomalies, emerging risks, and opportunities for improvement. Translate business questions into meaningful data insights, reports, and recommendations for stakeholders. Support incident and defect investigations through data analysis, root cause identification, and impact assessments. Contribute to the development and maintenance of data dictionaries, metadata, and documentation to improve data understanding and governance. Work collaboratively with business analysts, business architects, system analysts, testers, and subject matter experts to support system and business change activities. Promote analytical best practice through documentation, knowledge sharing, and continuous improvement of analytical methods and processes. Provide timely support for ad hoc and priority data requests. Desirable Qualifications:  Qualifications in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, or a related discipline. Experience in forensic data analysis, including the investigation of anomalies, fraud indicators, data integrity issues, compliance risks, or incident-related data investigations. Experience working in highly regulated environments such as government, health, aged care, finance, or similar sectors. Knowledge of data governance, data warehousing, and business intelligence concepts. Knowledge of Aged Care ICT landscape and/or data systems to support  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. Demonstrated experience undertaking complex data analysis, including the identification of trends, anomalies and patterns within large and complex datasets. 2. Demonstrated experience using analytical tools and techniques to investigate system, transactional or user activity data and produce evidence-based insights to support operational or regulatory decision-making. 3. Demonstrated ability to communicate analytical findings clearly to technical and non-technical audiences through reports, visualisations and briefings. 4. Demonstrated experience working in government, regulatory, compliance, integrity, fraud, risk or assurance environments, including the management of sensitive information. 5. Value for money, including proposed rates, availability and ability to commence within required timeframes. 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 03 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