Our client is a large values-focused Federal Government Agency seeking an experienced Lead Data Analyst (EL1 level) to deliver complex analysis, reporting and insights across a high-profile risk function.

This is a senior hands-on analytics role combining SQL, reporting, statistical analysis, problem-solving and stakeholder engagement . You'll work across regular and ad hoc analytical requests, identify trends and risks, improve reporting governance and translate complex data into meaningful insights for senior stakeholders.

ROLE DETAILS:

Location: Richmond or Geelong VIC
Contract: 12 months + 12-month extension option
Working arrangement: Hybrid
Security: Must be able to obtain NV1
Eligibility: Australian Citizenship mandatory
Applications close: Wednesday 7 October

ABOUT THE ROLE

You’ll lead analytical work across a range of operational and strategic risk initiatives, using data to answer complex business questions, identify trends and support evidence-based decision-making.

The role also includes improving reporting and quality assurance processes, presenting findings across different forums and mentoring less experienced analysts.

KEY RESPONSIBILITIES

- Deliver regular,



one-off and ad hoc data analysis across risk-related initiatives.
- Analyse data and trends to identify risks, issues and opportunities.
- Develop and improve reporting, governance and quality assurance processes.
- Translate complex analysis into clear insights and recommendations.
- Work with business areas to understand objectives, context and performance measures.
- Present findings to technical and non-technical stakeholders.
- Support consistent use of data and reporting across the organisation.
- Mentor and support junior analysts.

SELECTION CRITERIA

- Strong data analytics capability, particularly SQL .
- Experience with SAS EG / SAS Viya highly regarded.
- Robust data visualisation and statistical analysis skills.
- Proven problem-solving and critical-thinking capability.
- Ability to communicate complex insights clearly to varied audiences.
- Strong stakeholder engagement and cross-functional collaboration skills.
- Fraud analytics experience highly regarded.
- Exposure to statistical modelling or machine learning desirable.

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📌 Lead Data Analyst - Risk & Fraud Analytics (Melbourne)
🏢 Talent
📍 Melbourne