Senior Data Analytics Lead - BI & Healthcare Insights

Australian Energy Market Operator (Aemo); Melbourne; Hybrid; AUD 87,000 - 96,000; Full time

Benefits offered by this job

Salary packaging

Superannuation

Five weeks annual leave

Job summary

Peter Mac is seeking a Senior Data Analyst to support Business Intelligence and analytics for clinical and operational needs. You will design Power BI reports, write SQL queries, and deliver insights to improve cancer care, research and education.

The role operates in a hybrid Melbourne setting with a focus on stakeholder engagement and data-driven decision making. Ideally, you will bring strong analytical abilities, ability to translate clinical questions into data specifications, and

Qualifications

• 3+ years’ experience as a data/business analyst, preferably in healthcare or complex operational environments.
• Strong SQL skills - comfortable writing queries, joining multiple tables, aggregating data.
• Proven Power BI experience: designing reports, DAX measures.
• Proficiency with Excel.
• Ability to communicate technical concepts to non‑technical stakeholders - translating between “business speak” and “data speak”.
• Experience gathering requirements from stakeholders and turning them into clear specifications.
• Statistical and analytical thinking - knowing which analysis approach fits which question.
• Strong attention to detail and commitment to data accuracy.

Responsibilities

• Stakeholder engagement and requirements.
• Analysis and reporting.
• Data products and submissions.
• Training and support.

Skills

SQL

Power BI

Excel

Stakeholder comms

Analytical thinking

Attention to detail

Tools

DAX

Job description

Peter Mac is seeking a Senior Data Analyst to support Business Intelligence and analytics for clinical and operational needs. You will design Power BI reports, write SQL queries, and deliver insights to improve cancer care, research and education.

The role operates in a hybrid Melbourne setting with a focus on stakeholder engagement and data-driven decision making. Ideally, you will bring strong analytical abilities, ability to translate clinical questions into data specifications, and