
Senior Data and Intelligence Analyst
2 weeks ago
Application closing date: Monday, 15 September 2025
• 11:59pm, Canberra time (in Canberra)
Estimated start date: Monday, 20 October 2025
Location of work: NSW
Working arrangements: Subject to negotiations with line manager, hybrid working arrangements in line with current NDIA policy are available (minimum of 3 days each week in the office, with flexible arrangements in place for the remaining 2 days).
Length of contract: 12 months
Contract extensions: 1x 12 months
Security clearance: Must be able to obtain Baseline
Rates: $80 - $100 per hour (inc. super)
The National Disability Insurance Agency (NDIA) is an independent statutory agency that is responsible for implementing the National Disability Insurance Scheme (NDIS), which will support a better life for hundreds of thousands of Australians with a significant and permanent disability and their families and carers. The NDIA values a positive contemporary attitude to disability. As a Federal Agency, we work within a legislative and regulatory environment. We adhere to the Australian Public Service Code of Conduct as set out in section 13 of the Public Service Act 1999. Our work is driven by the Corporate Plan which provides strategic direction to achieve our purpose of making a difference so that people with disability can choose and achieve their goals. The NDIA Values are: - We value people – We put participants at the heart of everything we do. - We grow together – We work together to deliver quality outcomes. - We aim higher – We are resilient and always have the courage to do better. - We take care – We own what we do and we do the right thing. Our values reflect our passion and commitment to building a positive, participant-centred culture.
The Data and Analytics Branch supports the Agency by providing high quality data and reporting and translating insights into measurable business performance improvements. It focuses on delivering data and reporting while building data literacy capability across the branch and regions. The team develops, governs, and maintains an enterprise data warehouse and manages the Agency's reporting platforms and production content. It designs and builds Business Intelligence (BI) interventions and prototype analytic solutions and reports, identifying trends and drivers of performance.
The role will support the delivery of strategic data assets and data products by collaborating with business and technical users of the Data & Analytics technology to author high quality business and technical requirements that align to the target architecture and business use cases.
The role will be critical to the success of the delivery of the data assets and data products roadmap by being a trusted voice that all areas of the Data & Analytics branch and other stakeholders can interact with to work through delivery scope, timeline and issues and bring together the business need with the data solution.
Duties may include some or all the following but not limited to:
- Develop a traceability framework for project team members to follow to ensure all project deliverables link to an agreed business outcome via succinct and unambiguous business and technical requirements.
- Elicit and document business and technical requirements to support the strategy and goals of the Agency as they relate to the Data & Analytics transformation program.
- Analyse and document business process and data flows to provide current and future state context to support business and technical requirements.
- Collaborate with stakeholders to ensure appropriate stakeholders are included in the development of business and technical requirements, including facilitating relevant workshops, meetings, working groups, etc.
- Review and provide feedback on business and technical design documents to ensure designs align with expected business outcomes, as captured by business and technical requirements.
- Input to the design and implementation of solutions that deliver to the business and technical requirements and meet the expected business and technical outcomes.
Essential Criteria
- Demonstrated expertise leading hands-on business and technical requirement development and stakeholder validation in a large-scale business data and analytics transformation program.
- Experience implementing Data and/or Analytics products and services and accompanying data architecture (e.g. Data Models, ETL, data governance, security).
- Demonstrated expertise documenting data and process flows to analyse and provide context to business and technical requirements.
- Ability to gather, analyse and translate business data to meaningful and actionable insights.
- Strong proficiency with JIRA and Confluence, Visio, Excel, PowerPoint, Word.
- Practical Agile, Hybrid and/or Waterfall delivery framework experience.
Desirable Criteria
- Experience in working with diverse project, in-house development, and vendor teams to deploy complex, integrated technologies and effect business change.
- Experience as a scrum master.
- Experience with SAS Viya 4 platform.
- Hands on data analysis skills in interrogating data, source to target data mapping and data lineage (e.g. SQL, Python).
HOW TO APPLY
Please provide an updated CV (a maximum of 3-5 pages) to reflect your suitability to the role based on the job description. You will also need to complete a response to the Essential and Desirable criteria above in a summary no more than 5000 characters in total.
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