Senior Data Analytics Leader – Strategy & Insights

University of Wollongong; Wollongong City Council; On-site; AUD 123,000 - 153,000; Full time

Benefits offered by this job

Competitive salary package includes 17

Flexible working arrangements

Generous leave entitlements

Purchased leave options

Ongoing professional development

Job summary

University of Wollongong is seeking a senior analytics leader to drive delivery and embedding of data analytics across the university. You will guide the analytics roadmap, build trusted partnerships with senior stakeholders and help foster a data‑driven culture across the organisation.

The role requires leading an analytics team, managing multiple priorities, and applying AI/ML and data technologies to deliver actionable insights for academic, research and community objectives.

Qualifications

• Extensive experience leading data analytics and insights functions in higher education.
• Ability to translate complex business problems into actionable insights.
• Strong communication to simplify complex information for stakeholders.

Responsibilities

• Lead analytics delivery and embedding into business processes.
• Oversee design and delivery of self‑service analytics solutions and data products.
• Manage projects aligning with the Enterprise Data roadmap and stakeholder needs.
• Lead a multidisciplinary analytics team and build capability.
• Build strong relationships with senior stakeholders to translate challenges into insights.

Skills

Analytics leadership

Stakeholder engagement

AI/ML knowledge

Data visualization

Strategic analytics

Education

Higher education data analytics qualification

Tools

SQL

Python

Tableau/Power BI

Data warehousing tools

Job description

University of Wollongong is seeking a senior analytics leader to drive delivery and embedding of data analytics across the university. You will guide the analytics roadmap, build trusted partnerships with senior stakeholders and help foster a data‑driven culture across the organisation.

The role requires leading an analytics team, managing multiple priorities, and applying AI/ML and data technologies to deliver actionable insights for academic, research and community objectives.