Lead Data Analyst

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 Lead Data Analyst to support the delivery of the BID Analytics Project and drive the development of innovative data and analytics solutions that strengthen the integrity of Australia's health payments system. Working within the Risk Analytics Section, the Lead Data Analyst will provide specialist technical leadership in the design, development and implementation of advanced analytical capabilities, data products and risk detection methodologies. The role will lead complex analytical initiatives, collaborate with internal and external stakeholders, and guide the development of scalable solutions that enhance compliance activities, improve access to data-driven insights, and support the Division's ability to identify, prevent and respond to emerging integrity risks. Leveraging contemporary data analytics, visualisation and data matching technologies, the Lead Data Analyst will play a key role in advancing the Division's strategic analytics capability and delivering outcomes that support evidence-based decision-making across BID. Key Responsibilities The Lead Data Analyst will be responsible for: Provides technical leadership for the design, development and continuous improvement of the Section's systems, data, analytics and reporting capabilities, ensuring solutions align with strategic business objectives and future technology needs. Leads the development and implementation of the Section's technical strategy, identifying opportunities to modernise systems, manage technical risks and improve the effective use of technology to support compliance and integrity outcomes. Establishes and promotes a culture of technical excellence through strong documentation practices, rigorous quality assurance, knowledge sharing and proactive management of technical debt. Maintains ownership of a strategic portfolio of work or specialised technical domain, providing expert advice and working collaboratively with stakeholders to deliver complex business and technology outcomes. Designs, develops and oversees the delivery of complex analytical solutions, risk models, dashboards, reporting products and system enhancements, ensuring they are scalable, sustainable and aligned with departmental standards and frameworks. Works independently and exercises sound judgement in unfamiliar or complex situations, identifying innovative solutions to emerging business and technical challenges. Applies advanced analytical, systems and technical methodologies, evaluating the suitability of existing approaches and recommending improvements or alternative solutions where required. Leads stakeholder engagement activities, translating business requirements into technical solutions and ensuring products meet operational, strategic and user needs. Monitors developments, emerging technologies and best practice within their field, sharing expertise and driving continuous improvement across the Risk Analytics Section and wider technical community. Contributes to the capability development of the Section by mentoring team members, providing technical guidance and fostering a collaborative and knowledge-driven environment. Key Capabilities and Performance Measures  The Lead Data Analyst is expected to demonstrate and deliver the following capabilities: Demonstrated ability to provide technical leadership across complex systems, data and analytics initiatives, mentoring team members and fostering a culture of collaboration, knowledge sharing, quality assurance and continuous improvement within a geographically dispersed team. Advanced experience designing, developing and supporting enterprise data, reporting and analytical solutions using SQL and contemporary programming and visualisation technologies such as Python, R, SAS, R Shiny, Power BI or equivalent platforms. Proven ability to evaluate, adopt and implement emerging technologies and platforms, translating business requirements into sustainable technical solutions that improve organisational capability and efficiency. Highly developed understanding of data architecture, data management, systems integration and analytics, with the ability to acquire, transform, analyse and communicate data from multiple sources to support strategic and operational decision-making. Strong communication skills, with the ability to translate complex technical concepts and analytical findings into clear, meaningful insights for non-technical stakeholders, senior management and decision-makers. Demonstrated ability to undertake complex research, systems analysis and problem solving, applying sound judgement to develop innovative, evidence-based solutions and recommendations in ambiguous or evolving environments. Highly developed stakeholder engagement and negotiation skills, with the ability to build productive relationships and influence outcomes across business and technical areas to successfully deliver strategic projects and organisational priorities. Commitment to strengthening organisational data maturity by promoting data literacy, establishing best practice analytical approaches and enabling the effective use of data, systems and technology across the Division. Delivers agreed systems, data and analytics products within established timeframes, quality standards and business requirements, ensuring solutions are fit for purpose and support Division priorities. Provides effective technical leadership and guidance to team members, contributing to capability development, knowledge sharing and the adoption of best-practice analytical and systems development approaches. Develops and maintains robust, scalable and well-documented technical solutions that meet departmental standards for security, accessibility, governance and quality assurance. Builds productive relationships with internal and external stakeholders, effectively managing competing priorities and influencing outcomes to achieve project and business objectives. Identifies, assesses and implements opportunities for continuous improvement, innovation and automation that enhance the Section's analytical capability, operational efficiency and service delivery. Communicates complex technical concepts, analytical findings and solution options clearly and effectively to both technical and non-technical audiences, enabling evidence-based decision-making. Demonstrates sound judgement and problem-solving capability in the management of complex technical issues, risks and dependencies, proactively developing practical and sustainable solutions. Promotes a culture of technical excellence through the application of quality assurance processes, documentation standards, knowledge management practices and technical governance frameworks. 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 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