Analytics Engineer
Melbourne, Australia
Opportunity:
As an Analytics Engineer within the Health Insurance Customer Intelligence and Insights team; you will play a key role in the delivery and productionisation of Data Science and Analytics projects that contribute to improved health insurance customer outcomes, in line with the health insurance business strategy and customer analytics roadmap.
This role will work closely with data technology teams, to ensure the continued growth and maturity of our new data platform in Azure. You will build data features and pipelines and implement our 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.
You will be provided with flexible working/work from home arrangements; however, when you are in the office, you will be based in Melbourne.
What You’ll Be Doing
Here's what you can look forward to 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.
- Keep yourself up to date with emerging technology and trends in data
What You’ll Bring
To succeed in this role, you’ll ideally have:
- 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 and Agile working rhythms
- 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)
We’ve Got You Covered
At Bupa, care is at the heart of everything we do — for our customers and our people. We want you to thrive, so our global wellbeing program supports every aspect of your health: physical, mental, financial, and beyond.
Here’s just a taste of what you’ll enjoy:
- We take care of your health insurance with partially subsidised Bupa cover.
- Big discounts on travel, car, home, dental, optical & more
- Perks from partners like Apple, JB Hi-Fi, Endota Spa & New Balance
- Extra annual leave day just for your wellbeing
- A paid volunteer day each year to give back
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