Data AnalystPermanent, Full Time | $90,000 - $100,000 | Hybrid (3 days in the office)About the clientA 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 robust focus on student retention, progression and engagement.About the roleThis 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 responsibilitiesApply statistical analysis, forecasting, predictive modelling and segmentation to identify trends, risks and opportunities, and turn the findings into clear recommendationsSupport retention, progression and student experience initiatives through insights, recommendations or the implementation of statistical modelsDesign and run evaluations of initiatives and interventions to measure their impact and recommend improvementsBuild strong relationships with stakeholders, define analytical requirements and communicate complex findings clearlyDevelop and maintain dashboards,



visualisations and analytical products that stakeholders trust and usePromote data quality, governance and best practice, and find opportunities to automate and improve processesHandle ad hoc analysis requests and data provisionWhat success looks likeYour insights and recommendations influence business decisions and improve student retention, progression and engagementReporting and analysis is trusted, timely and supports effective planningStakeholders actively use the analytics products you buildRecurring reporting is streamlined through automation and self-serviceData quality issues are identified and resolved, lifting confidence in reportingYou contribute to stronger analytics maturity and data literacy across the businessSkills and experienceTertiary qualification in statistics, analytics, mathematics, computer science or a related disciplineProven experience delivering analytics, insights and recommendations that inform business decisionsAdvanced SQL, with experience on a cloud data warehousePython for analysis, automation and data preparationStrong Power BI skills, including data modelling, visualisation and dashboard developmentKnowledge of statistical analysis, forecasting and data interpretationStrong communication and stakeholder management, including explaining technical concepts to non-technical audiencesAbility to manage competing priorities in a fast-paced environmentDesirableExperience in higher education, edtech or a similar service-based industryUnderstanding of data governance, data quality and self-service BIExposure to other data visualisation toolsFamiliarity with AWS services (such as S3 and Lambda)Familiarity with Gen AI tools and their use in analytics workflows

📌 Data Analyst (Melbourne)
🏢 Method Recruitment Manual
📍 Melbourne