Health Data & Analytics Lead — Hybrid (2 days WFH)

Talent; Adelaide; Hybrid; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Flexible work arrangement

Job summary

Talent International is partnering with Country SA Primary Health Network (Country SA PHN) to recruit an experienced Health Data and Analytics Lead for a fixed-term contract until June 2027. The role offers hybrid work with up to two days work-from-home per week after a 6-month probation.

The successful candidate will analyse complex health datasets, identify population health trends and service gaps, and translate findings into evidence-based recommendations to support healthcare planning and

Qualifications

• Strong background in health data analytics, epidemiology and population health.
• Experience analysing complex health datasets and producing reports.
• Knowledge of data governance, privacy and information sharing requirements.

Responsibilities

• Analyse population health data to identify healthcare trends, service gaps and health inequalities.
• Conduct quantitative and qualitative research to support health needs assessments.
• Prepare evidence-based reports and recommendations for stakeholders.
• Ensure data governance, privacy, data quality and appropriate information-sharing practices.
• Provide technical guidance, mentoring and quality assurance to analysts.
• Support improvements to analytical frameworks and reporting processes.

Skills

Health analytics

Epidemiology

Population health

Public health research

Excel

SQL

Power BI

Power Query

Education

Relevant tertiary qualifications or equivalent professional experience

Tools

Power Query

Job description

Talent International is partnering with Country SA Primary Health Network (Country SA PHN) to recruit an experienced Health Data and Analytics Lead for a fixed-term contract until June 2027. The role offers hybrid work with up to two days work-from-home per week after a 6-month probation.

The successful candidate will analyse complex health datasets, identify population health trends and service gaps, and translate findings into evidence-based recommendations to support healthcare planning and