Data Analyst
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About the Role
We are seeking a Data Analyst who can combine strong analytics with hands‑on data engineering and machine learning. Reporting to the founder, you will work across product, engineering and operations to: Turn large, complex veterinary practice datasets into insights that shape product and business decisions Build and maintain ETL processes and data pipelines (Databricks, Microsoft Fabric, SQL Server) Write SQL queries and stored procedures for extraction and transformation Develop, deploy and monitor machine learning models Deliver dashboards, reports and visualisations for internal and client stakeholders Run statistical analysis and A/B tests Lead data quality checks and data governance practices About You Degree in Data Science, Computer Science, Statistics, Mathematics or related field Minimum 3 years' experience in data analysis, data science or similar Python (analysis, ML, automation) and strong SQL, including SQL Server Hands‑on Databricks and Microsoft Fabric experience ML frameworks (scikit‑learn, TensorFlow or PyTorch) and model deployment Statistics, data mining and predictive modelling Data warehousing and pipeline architecture Clear communicator who can explain complex findings to non‑technical audiences Experience in agile teams Healthcare, veterinary or life sciences background Understanding of privacy and data compliance obligations
What We Offer
Full‑time, permanent, fully remote role within Australia, flexible hours around AEST/AEDT The chance to shape analytics in a growing veterinary technology business Applicants must hold Australian citizenship or permanent residency (or be a New Zealand citizen).
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