Data Analyst: Power BI, Databricks & Insight Automation

Xpt Software Australia Pty

Melbourne

Hybrid

AUD 90,000 - 100,000

Full time

3 days ago

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Job summary

Xpt Software Australia Pty is seeking a Data Analyst to transform data into actionable insights. The role blends analytics, automation and stakeholder partnership to drive student retention and engagement.

You will build dashboards, improve data quality and contribute to analytics maturity within the online education space. Based in Melbourne with a hybrid arrangement (3 days in office), the role reports to the Lead Data Analyst, Analytics & Reporting, and requires strong SQL, Python and Power

Qualifications

Tertiary qualification in statistics, analytics, mathematics, computer science or related discipline.
Proven analytics delivery with insights and recommendations for 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, visualization 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 environment.
Experience in higher education, edtech or similar service-based industry.
Understanding of data governance, data quality and self-service BI.
Exposure to other data visualization tools.
Familiarity with AWS services (S3, Lambda).
Familiarity with Gen AI tools and their use in analytics workflows.

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 or implementation of statistical models.
Design and run evaluations of initiatives and interventions to measure 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 automate processes where possible.
Handle ad hoc analysis requests and data provision.