Data Analyst – Online Education

About the role

A client in the online education space, which partners with universities to deliver online learning, is hiring a Data Analyst in Melbourne. The role goes beyond report production: it turns data into insights and recommendations that support student retention, progression and engagement. You will partner with stakeholders, use automation to improve analytics and help build the client's analytics capability, including dashboards, data quality improvements and solutions on the internal data platform. The position reports to the Lead Data Analyst, Analytics & Reporting.

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 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 streamline 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.