Data Analyst - Online Education

About the role

A client in the online education space, which partners with universities to deliver high-quality online learning, is hiring a Data Analyst in Melbourne. The role turns data into insights and recommendations that support student retention, progression and engagement. It reports to the Lead Data Analyst, Analytics & Reporting, and is hybrid (3 days in the office). Candidates must hold Australian or New Zealand citizenship or Australian PR.

Key responsibilities

• Apply statistical analysis, forecasting, predictive modelling and segmentation to identify trends, risks and opportunities, and turn findings into clear recommendations.
• Support retention, progression and student experience initiatives through insights, recommendations or the implementation of statistical models.
• Design and run evaluations of initiatives and interventions to measure their impact and recommend improvements.
• Build strong relationships with stakeholders, define analytical requirements and communicate complex findings clearly.
• Develop and maintain dashboards, visualisations and analytical products that stakeholders trust and use.
• Promote data quality, governance and best practice, and find opportunities to automate and improve processes.
• Handle ad hoc analysis requests and data provision.

Required profile

• Tertiary qualification in statistics, analytics, mathematics, computer science or a related discipline.
• Proven experience delivering analytics, insights and recommendations that inform business decisions.
• Strong communication and stakeholder management, including explaining technical concepts to non-technical audiences.
• Ability to manage competing priorities in a fast-paced environment.

Required skills

• Advanced SQL, with experience on a cloud data warehouse.
• Python for analysis, automation and data preparation.
• Strong Power BI skills, including data modelling, visualisation and dashboard development.
• Knowledge of statistical analysis, forecasting and data interpretation.
• Desirable: experience in higher education, edtech or a similar service-based industry; understanding of data governance, data quality and self-service BI; exposure to other visualisation tools; familiarity with AWS services such as S3 and Lambda; familiarity with Gen AI tools used in analytics workflows.