Data Analyst
Permanent, Full Time | $90,000 - $100,000 | Hybrid (3 days in the office)
About the client
A client in the online education space that partners with universities to deliver high quality online learning experiences.
They use data to improve the student experience, with a strong focus on student retention, progression and engagement.
About the role
This role goes well beyond report production.
You will turn data into insights and practical recommendations that support better business and student outcomes.
You will partner closely with stakeholders, use automation to improve analytics, and take on much of the hands-on data work that lets the wider business act on key findings.
You will also help build the analytics capability, including dashboards, data quality improvements, streamlined processes and solutions delivered within the client's internal data platform.
It is a good fit for someone who wants to grow their skills while doing business-focused work with visible impact.
Reports to:
Lead Data Analyst, Analytics & Reporting
Key responsibilities
Apply statistical analysis, forecasting, predictive modelling and segmentation to identify trends, risks and opportunities, and turn the 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
What success looks like
Your insights and recommendations influence business decisions and improve student retention, progression and engagement
Reporting and analysis is trusted, timely and supports effective planning
Stakeholders actively use the analytics products you build
Recurring reporting is streamlined through automation and self-service
Data quality issues are identified and resolved, lifting confidence in reporting
You contribute to stronger analytics maturity and data literacy across the business
Skills and experience
Tertiary qualification in statistics, analytics, mathematics, computer science or a related discipline
Proven experience delivering analytics, insights and recommendations that inform business decisions
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
Strong communication and stakeholder management, including explaining technical concepts to non-technical audiences
Ability to manage competing priorities in a fast-paced setting
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 data visualisation tools
Familiarity with AWS services (such as S3 and Lambda)
Familiarity with Gen AI tools and their use in analytics workflows

📌 Data Analyst (Melbourne)
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📍 Melbourne