Analytics Engineer

About the role

Bupa is looking for an Analytics Engineer in Melbourne to deliver and put into production Data Science (including Machine Learning and Gen AI) and Analytics projects that improve health insurance customer outcomes, in line with the business strategy and customer analytics roadmap. The role works closely with the data program and data technology teams to move from legacy systems to the new Azure data platform.

Key responsibilities

• Implement an MLOps framework to support a set of propensity models that drive audience selection and personalisation for customer recommendations, offers and 1-1 marketing campaigns.
• Support the Customer Insights and Decision Science team with data assets and pipelines that support feature development and insights generation.
• Work with business stakeholders to understand their requirements and turn them into data-driven approaches.
• Build data pipelines from acquisition and ingestion through the data lake to reports, dashboards, applications, models and APIs.
• Engineer data features that are reusable across models and areas of the business, championing the use of the feature store.
• Build data processes that monitor the quality of key datasets and the inputs and outputs of advanced analytical solutions.
• Follow Bupa's designs, standards, guidelines and patterns, and carry out other duties reasonably requested.

Required profile

• 3+ years of business experience in customer analytics, data science, data engineering or a similar field.
• Qualified in a quantitative discipline such as Statistics, Engineering, Physics, Mathematics, Econometrics, Computer Science, Machine Learning or a related field.
• Experience with cloud-first approaches, data processing frameworks, modern data management practices, agile working rhythms and automation and efficiency.

Required skills

• SQL/TSQL (mandatory)
• Python (preferred)
• Azure data services or equivalent (e.g. AWS); Azure Synapse/Azure SQL DW, Azure DataBricks/Spark and Azure ML preferred
• Power BI