Analytics Engineer Melbourne, Victoria

Analytics Engineer

At Bupa, purpose meets possible. Join us and help shape a future where healthcare is more connected, more personal and more human.

We're a global healthcare leader trusted by millions and committed to helping people to live longer, healthier, happier lives and making a better world. Healthcare is changing, and so are we. We're investing in more clinics, better systems and smarter, more connected ways to help our customers. As we continue to expand our services and invest in innovation, you'll help create a healthcare system that meets people where they are, responds to what they need and leaves them better than before.

Here, your work has purpose, your voice matters and your future is full of possibility.

Just imagine the impact you could make.

The purpose of this job

The Analytics Engineer is responsible for the delivery and productionisation of Data Science (includes Machine Learning & Gen AI)and Analytics projects that contribute to improved health insurance customer outcomes, in line with the health insurance business strategy and customer analytics roadmap.

Work closely with the data program and data technology teams, to ensure migration from legacy systems to the new data platform in Azure.

Implement MLOps Framework to support the delivery of a set of propensity models that drive audience selection and personalisation for customer recommendations, offers and 1-1 marketing campaigns.

Provide support to the Customer Insights and Decision Science team with the development and management of data assets and pipelines that support feature development and insights generation.

Work with business stakeholders to understand their requirements and translate these into data-driven approaches.

You may also carry out any other duties reasonably requested by Bupa from time to time.

What you'll need to make it possible

• 3+ years of business experience in customer analytics / data science / data engineering or similar field, with a strong focus on
• Engineering using cloud first approaches
• Data processing frameworks
• Modern data management practices
• Agile working rhythms
• Automation & Efficiency
• Qualified in a quantitative discipline (Statistics, Engineering, Physics, Mathematics, Econometrics, Computer Science, Machine Learning or related field)
• Programming Language Skills
• SQL/TSQL (Mandatory)
• Python (Preferred)
• Microsoft Azure data services skills (or equivalent e.g. AWS)
• Azure Synapse/Azure SQL DW (preferred)
• Azure DataBricks/Spark (preferred)
• Azure ML
• Power BI

What you'll be doing in this role

• Work with business stakeholders and data science / analytics team to understand detailed data requirements to be implemented
• Engineering of data pipelines from data acquisition and ingestion though the data lake, to various means of consumption including, reports, dashboards, applications, models, and API's.
• Engineering of data features in support of advanced analytical processes and data science / analytics teams. Ensure that data features are reusable across different models and other areas of Bupa where appropriate, through championing the use of the feature store.
• Engineering of data processes supporting monitoring of quality of key data sets and advanced analytical solutions' inputs and outputs to minimise risk.
• Work in accordance with Bupa's designs, standards and guidelines, and patterns.

Why you'll love it

We support our people to be the healthiest and happiest versions of themselves.

At Bupa your wellbeing, identity, and personal story are respected and valued. We are continuing to build teams that reflect the diversity of the communities we serve. Bupa is committed to providing equal opportunities and fostering a workplace and environment that is free of discrimination, bullying and harassment.

We actively encourage applicants from all backgrounds and experiences, including Aboriginal and Torres Strait Islander peoples, veterans, people with disabilities, and LGBTQIA+ applicants.

We are dedicated to removing barriers to participation. If you need any reasonable adjustments during the recruitment process, or if you'd like to discuss how this role can be flexible for you, please let us know so we can support your participation on an equitable basis.