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Mid-level data analyst title and common skills increase competition; modest brand reduces amplification.
SQL, Excel, and BI skills transfer easily across industries, so background sensitivity is low.
Explicit 2–4 year requirement plus SQL and BI skills make shortlisting moderately strict.
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Analyze operational data to identify trends, inefficiencies, and improvement opportunities.
Develop and automate dashboards, reports, and visualizations to monitor KPIs and operational performance.
Present data-driven insights and recommendations to leadership and collaborate across teams.
Bachelor’s degree required.
2–4 years of data analysis experience, preferably in operations or supply chain.
Proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI.
Right to work in Australia indefinitely without company sponsorship.
Experienced in operational metrics and KPI tracking within supply chain or operations contexts.
Capable of independently automating reporting processes to improve operational efficiency.
Able to communicate complex data insights clearly to non-technical stakeholders and leadership.