Senior Data Analysts

Data Analysts the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights Key duties and responsibilities The Benefits Integrity Division (BID) is seeking a Data Analyst to support the delivery of the BID Analytics Project and contribute to the development of data-driven solutions that strengthen the integrity of Australia's health payments system. Working within the Risk Analytics Section, the Data Analyst will apply analytical, technical and problem-solving skills to develop data products, reporting solutions and risk-based insights that support compliance activities across the Division. The role involves analysing complex datasets, identifying patterns and emerging risks, and translating findings into meaningful insights to support evidence-based decision-making. The Data Analyst will work closely with business and technical stakeholders to understand requirements, develop analytical solutions and contribute to the ongoing improvement of the Division's analytical capabilities. Leveraging contemporary data analytics, visualisation and data matching techniques, the Data Analyst will help enhance access to reliable information, support investigations into inappropriate practice, and contribute to the Division's ability to identify, prevent and respond to integrity risks. The role offers the opportunity to work on complex and meaningful analytical challenges that support the effective administration of Australia's health payments system. Key Responsibilities The Data Analyst will be responsible for: Work independently to deliver complex analytical projects and business outcomes, applying established standards, methodologies and professional judgement in unfamiliar or evolving environments. Design, develop and maintain complex risk analyses, dashboards, reports and data products, ensuring outputs are accurate, fit for purpose, fully documented and contribute to team knowledge sharing and continuous improvement. Apply advanced analytical and technical techniques to interpret complex data, identify limitations in existing approaches and recommend practical, evidence-based solutions to support business objectives. Engage proactively with stakeholders to understand business requirements, translate needs into analytical solutions and ensure products and insights deliver intended outcomes and value. Contribute to quality assurance activities by reviewing own work and conducting peer reviews, ensuring analytical outputs meet agreed standards for accuracy, consistency and reliability. Analyse and resolve complex business and data challenges where established processes do not exist, developing recommendations and contributing to the creation of new approaches, guidance and operational practices. Maintain and enhance analytical tools, reporting products and associated documentation, ensuring solutions remain relevant, accessible and aligned with evolving business requirements. Share expertise, knowledge and lessons learned with colleagues, contributing to team capability development and promoting best-practice analytical approaches across the Section. Key Capabilities & Performance Measures The Data Analyst is expected to demonstrate the following capabilities and performance measures: Demonstrated experience using SQL and contemporary analytical and visualisation tools such as Python, R, SAS, Power BI or equivalent technologies to acquire, prepare, analyse and communicate complex data from a range of sources, delivering evidence-based insights that support operational and strategic decision-making. Proven ability to undertake complex research and analysis, apply sound judgement, identify trends, risks and opportunities, and develop practical, defensible recommendations to address business challenges and support organisational outcomes. Highly developed communication and interpersonal skills, with the ability to effectively engage and negotiate with stakeholders, translate complex analytical findings into meaningful insights for non-technical audiences, and support informed decision-making. Demonstrated ability to work collaboratively across geographically dispersed teams, contribute to a positive and inclusive team culture, share knowledge and expertise, and support the development of less experienced staff through mentoring and guidance. Ability to learn, adopt and apply new technologies, tools and analytical approaches, identify opportunities to improve processes and reporting, and promote data literacy and evidence-based decision-making across the organisation. Delivers high-quality analytical products, including risk analyses, dashboards, reports and data requests, that meet stakeholder requirements and are completed within agreed timeframes. Applies appropriate analytical techniques and sound judgement to identify trends, risks and opportunities, providing evidence-based insights that support compliance and business outcomes. Builds and maintains productive stakeholder relationships, effectively engaging with clients to understand requirements and deliver solutions that achieve intended outcomes. Produces accurate, reliable and fit-for-purpose analytical outputs that meet quality assurance, governance and documentation standards, while contributing to peer review activities across the team. Demonstrates initiative in solving complex analytical and business challenges, developing practical recommendations and contributing to improvements in processes, methodologies and ways of working. Maintains and enhances analytical tools, data products and supporting documentation, ensuring organisational knowledge is captured and shared effectively across the team. Shares expertise and supports capability development within the Section through knowledge sharing, mentoring and promoting best-practice analytical approaches. Contributes to the Division's data maturity by communicating insights effectively, promoting data literacy and supporting evidence-based decision-making across business areas Criteria The buyer has specified that each candidate must provide a response to each criterion. Each response is limited to 3000 characters. Essential criteria 1. Extent to which the Seller's response and proposed candidate's CV meets the Department's requirements as outlined within the Requirements section of this RFQ Opportunity summary Sellers can submit Up to 2 candidates Number of sellers invited Between 5 and 10 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. 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