A Federal Government department is seeking multiple Lead Data Analyst to assist in creating analytical solutions that can be used to identify instances of Fraud/non-compliance.
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You will be responsible for leading the development, refinement, and management of detection indicators, ensuring alignment with high-quality, governed data assets and emerging fraud and non-compliance risks. Collaborate with Data Scientists to support model development, interpret results, and embed insights into operational detection and risk scoring approaches.
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Initial contract to August 2027 with 2 x 6-month extension options
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Estimated start date August 2026 (pending onboarding and Availability)
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Baseline Security Clearance required (you must be an Australian Citizen to go through the vetting process).
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Full time 37.5-hour work week
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This role can be located in ACT, QLD, WA, VIC, NSW, NT, SA & TAS
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Hybrid working arrangement. Mix of onsite and WFH
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Key responsibilities:
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Experience translating analysis into explicit, actionable outputs, including dashboards and reporting (e.g. Power BI, Tableau).
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Ability to collaborate effectively with data engineering and data science functions to support end-to-end analytics delivery.
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Strong stakeholder engagement and communication skills, including the ability to explain complex analysis in plain language.
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Experience in quality assurance, validation, and continuous improvement of analytical products and data inputs.
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Lead stakeholder engagement to define analytical priorities, align outputs to business needs, and drive continuous improvement of data and analytics capability.
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Provide quality assurance over analytical outputs and data inputs, ensuring accuracy, consistency, and alignment with governance standards.
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Desired experience:
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Experience working in Fraud & Non-compliance programs
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What is on offer:
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Contract to August 2027 with a 2 x 6-month extension options
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The chance to play a key role in a large Fraud/non-compliance Program
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Flexibility with working from home and in the office
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📌 Lead Data Analyst - Multiple (Canberra)
🏢 Data Division
📍 Canberra
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