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Analytics & Insights Engineer, Investment Data & Analytics
2 weeks ago
About Cbus
Created by workers, for workers, Cbus Super is one of Australia's most successful Superannuation funds. For almost four decades we've proudly represented those who help shape Australia, hard-working individuals who deserve to make the most of their retirement, no matter the industry. As an award-winning fund we've been recognised for the benefits provided to our members and our innovative investment approach. All while staying committed to our member first ethos as a proud Industry Fund.
About the role
The Analytics & Insights Engineer, Investment Data and Analytics plays a pivotal role in shaping and delivering data capabilities across the investment function at Cbus. Operating as a senior member of the team you, will be responsible for developing analytical data models, building and maintaining data pipelines and implementing automated workflows within our in-house data management platform. You will work collaboratively in a supportive team to enhance platform capabilities, drive automation and embed data governance best practices. Leveraging cutting edge technology, you will help deliver robust, well governed data that empowers Cbus to be more agile, insights-led and forward thinking in its investment operations.
Key Accountabilities
- Analyse and report on large volumes of structured and unstructured data from diverse sources to support business decision-making
- Design, develop and maintain conceptual, logical and analytical data models, dashboards and reports using tools such as SQL and PowerBI
- Create and manage high-quality, governed datasets that are accurate, timely and fit for analytics and reporting purposes
- Develop and automate data pipelines and workflows using ETL/ELT principles, scripting languages (e.g. Python, PowerShell) and CI/CD practices with Azure DevOps
- Collaborate with stakeholders to identify relevant data sources, translate business requirements into insights and apply advanced techniques to deliver commercially focused recommendations
What will you bring?
- Experience in a similar Data Engineering or Data Science role with relevant tertiary qualifications
- Strong expertise in SQL, data modeling and building reusable data assets using tools like PySpark and SparkSQL
- Proven experience in DataOps, Agile environments and modern DevOps toolsets including CI/CD, Jira and Confluence
- Skills in deploying and managing data pipelines, integrating third party systems/ APIs and automating unit tests
- Solid understanding of data governance principles including lineage, integrity, classification and lifecycle management.
Belong at Cbus
We value difference, and embrace people with diverse backgrounds, experiences, gender identities, abilities and thinking styles. We believe that, with diversity of perspectives and experiences, you get better teams and outcomes. We're looking for people of all genders, races, nationalities, orientations and of all abilities to join us.
We're keen to hear from you
If you've read through the requirements of this role and you feel like you haven't fully met the criteria, we would still encourage you to apply. We're aware of accessibility barriers when it comes to applying for a job and we want to help. If you require assistance with your application, please contact our Talent Acquisition Team via
Like to know more about working with Cbus? Listen to some of our videos with members of the Cbus team on our website,
Applications Close:
Thursday 2 October 2025
This is a full time position based in Melbourne
Agencies, please note: All Cbus vacancies are managed by our internal Talent Acquisition Team. Should external assistance be required we will reach out to our preferred agency partners, Thank you.