Data Analytics Lead. Permanent Full Time - Flexible Location

Make a real difference in the lives of vulnerable Australians with this unique opportunity to provide both corporate expertise and community support. With a focus on people, not profit, Life Without Barriers’ corporate services team partners with our direct support staff, clients, and their families to ensure we continue our mission to change lives for the better.  If a truly inclusive, collaborative, and fast-paced work environment sounds like your next career move, this is an opening not to be missed.

Life Without Barriers is a leading social purpose organisation of 8,000 employees working in more than 500 communities across Australia. We support children, young people and families, people with disability, older people and people with mental illness. We work with people who are homeless and refugees and asylum seekers. Join a community of people dedicated to breaking down barriers.  

We want to employ people who reflect the diversity of our clients to ensure we can support each client's individual needs and wants. We encourage people of Aboriginal and Torres Strait Islander background and people with disability to apply.

Lead a data team focused on maximizing the value of organisational data. You will manage the consumption layer of the data pipeline, support data product owners in delivering new features, champion data observability and quality, and promote data literacy across the organisation. This role drives the realization of LWB's data strategy, fostering a data-informed decision-making culture through strong delivery and collaboration. This is a permanent full time opportunity and can be located anywhere in Australia. You can work from home or one of our offices, wherever you work best!

• →Lead the Analytics Centre of Excellence (ACE), providing mentorship and professional development for data professionals across data communities.
• →Provide supervision and support enabling team to produce data products.
• →Work with data product owners to design and implement data products and services.
• →Promote data & analytics strategy
• →Determine the appropriate tools and methodologies to deliver data & analytics service
• →Manage and optimise data consumption infrastructure (semantic layer, visualisation)
• →Set up and maintain data observability platform
• →Encourage data citizens to re-use trusted data products for integration and analytical functions.
• →Set, monitor and maintain quality standards for documentation of data products.
• →Promote opportunities to explore predictive and prescriptive analytics to help solve business problems.
• →Model, support and adhere to all security management processes and procedures, aligning where appropriate to internal and industry requirements.
• →Develop and implement change management for core data platforms to meet product integrity and service standards.
• →Maintain an up-to-date knowledge of technology and make recommendations to resolve business issues and pain points and to improve plans, processes and procedures ·
• →Actively contribute to discussions to create, explore, improve and implement ideas, projects and plans, for example retros and showcases.

• Tertiary level qualifications in a computer science or a related IT discipline
• Experience leading a team of data professionals.
• Demonstrated experience as a Senior Developer or similar role in a large geographically dispersed organisation.
• Demonstrated experience with:
• Data Warehousing platforms (e.g. AWS Redshift, Snowflake)
• ELT / ETL platforms (e.g. AWS Glue, Talend)
• Analytics platforms (e.g. Knime, Alteryx)
• Cloud based infrastructure (e.g. AWS. Azure, Fabric)
• Demonstrated experience with data visualisation platforms (e.g. Power BI, Tableau)
• Experience working with structured and unstructured datasets
• Experience in learning new platforms and utilising new technologies
• Demonstrated experience in managing competing priorities and to deliver outcomes within agreed timeframes and quality standards.
• Highly skilled in data manipulation and blending
• Understanding of data modelling, data mining, and segmentation techniques.
• Working knowledge of data lakes, data warehouses.
• Understanding of enterprise data strategies, data governance, privacy and security.
• The ability to work collaboratively with a range of stakeholders.
• Strong communications skills engaging with both technical and non-technical users

Successful candidates will be required to clear probity checks including National Criminal History Record Check.

Include your resume and cover letter in one document, click ‘Apply’ and follow the prompts. For any enquiries relating to the position contact recruitment@lwb.org.au. Candidates with disabilities who require adjustments to the recruitment process or the application form in an alternate format can contact  recruitment@lwb.org.au . 

Advertised: 22 Jul 2026 AUS Eastern Standard Time
Applications close: 29 Jul 2026 23:55 AUS Eastern Standard Time

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