Senior PowerBI and Data Analyst

Description & Requirements

• Senior PowerBI and Data Analyst
• 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 helping people live longer, healthier, happier lives and making a better world. As healthcare changes, we’re investing in smarter systems and more connected ways to support our customers.
• 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 Senior Power BI & Data Analyst will migrate existing BI assets to Databricks and develop Power BI dashboards that provide reliable, actionable insights.
• This role sits in the HP&CI Claims Intelligence team and requires practical knowledge of Australian private health insurance claims to interpret business rules, validate outputs and preserve business meaning.
• You’ll combine Power BI, data analysis and health insurance knowledge to solve complex claims and provider problems with technical and business teams.
• What you’ll need to make it possible
• Practical experience with Australian private health insurance data, reporting or analytics, preferably claims data.
• Strong understanding of members, policies, products, benefits, providers, services,paymentsand claim outcomes.
• Strong hands-on experience with Power BI Desktop, Power Query,DAXand data modelling.
• Advanced SQL skills and experience working with complex data transformations,reconciliationand validation.
• Experience migrating,rebuildingor materially improving important reports, dashboards,datasetsor semantic models.
• A strong approach to data quality, testing,documentationand traceability.
• Clear communication skills, with the ability to explain complex information and tell a clear data story.
• Strong stakeholder engagement, businesscuriosityand ability to turn problems into practical analytics solutions.
• Familiarity with Databricks, Databricks notebooks, Spark SQL or similar platforms is desirable.