Canberra, ACT (The agency supports and promotes flexible working, including remote options on negotiation)
- Ongoing / Non Ongoing (Non-ongoing will be offered for 12 months)
- 121,724 - $138,463 + Superannuation
- About the Branch
The role of the Transformation Branch is to provide insights, solutions and advice to decision makers, policy makers and the market to improve scheme operations and position the agency as a modern, efficient and effective regulator.
Branch objectives :
Provide (a) advice, (b) support or (c) action on complex scheme implementation & design issues that are workable and enforceable.Influence the direction of potential new schemes or policies that align with the objectives and functions of the agencySupport the Chief Data Officer (CDO) and the agency to create a data-driven culture that identifies external trends to inform strategic decisions and support business transformation.Increase confidence in the carbon and renewable energy markets by highlighting the role of our schemes and understanding the international context.To model best practice collaboration in delivering our outcomes.Create a renewed focus on synergising interdependencies, maturing governance, driving business transition and benefits realisation through the CER Change Program.About the SectionThe Data Innovation and Tools section supports the agency to unlock the potential of our data to drive innovation and compliance for the agency.
Specific responsibilities include :
Support the Chief Data Officer and the agency in delivering the Data and Reporting Strategy to improve data governance.Support business areas to improve data transparency under the agency's open data policy.Promote and facilitate sharing of scheme data across Commonwealth agencies.Provide a point of liaison between the Digital Services branch and business areas on the delivery of data services infrastructure under the Data Services Roadmap.Build agency analytics capability, and utilise data analytics and geospatial analytics to :Support the integrity of agency schemes by detecting, predicting and preventing non-compliance.Provide insights and evidence to decision-makers and other stakeholders on the behaviour of our clients and the trends and outcomes in our schemes.Identify and deliver business improvements and efficiencies.Support innovative approaches to reduce regulatory burden, support self-service approaches, improve efficiency and encourage compliance with our schemes - by :Working with business areas to identify, prioritise and implement innovative approaches to scheme and participant needs or problems.Provide targeted skills and resources to consult on, design, build and / or roll out strategic initiatives that result in improvements to internal processes, data collection, client compliance, and communication related to scheme operations.Role Responsibilities and DutiesThe Data Analytics Technical Lead is a senior technical role responsible for designing and delivering end-to-end data analytics solutions that support the agency's strategic and operational objectives. This role leads the architectural design of analytics platforms, ensures best practices are followed, and oversees the development and delivery of data products that meet business needs.
Under broad direction, the Data Analytics Technical Lead will :
Lead the design and implementation of end-to-end data analytics architecture across programs, ensuring alignment with agency strategy and standards.Oversee the development and maintenance of ETL processes and reporting pipelines using tools such as R, Python, SQL, and Azure Synapse.Ensure data governance, quality, and security practices are embedded in all analytics solutions.Engage with business stakeholders to gather requirements and translate them into technical specifications and actionable data products.Manage the delivery of data products that support strategic and operational decision-making across the agency.Provide technical leadership and guidance to junior data engineers and analysts, fostering capability development and continuous improvement.Promote and enforce best practices and processes in data engineering, analytics, and agile delivery.Collaborate with cross-functional teams to ensure integration and scalability of data solutions within the agency's digital ecosystem.Contribute to team leadership and people management, including performance development, mentoring, and workload planning for APS Level 6 and other team members.Qualifications / ExperienceDemonstrated experience in data architecture, analytics, and engineering, including the design and delivery of end-to-end data solutions in complex environments.Strong technical proficiency in R, R Studio, Python, SQL, Azure Data Lake, Azure Synapse, and Power BI.Proven ability to lead technical teams, mentor junior staff, and manage the delivery of data product