Senior Bi & Analytics Engineer

The Client:

One of the fastest growing superannuation and investment management companies. ASX Listed.
Committed to an inclusive, equitable, and forward-thinking workplace culture.

The Role:

This is an extraordinary opportunity to join an innovative and pioneering investment management company to implement BI Solutions for a brand new tech transformation.

• Utilise Python for data manipulation, analysis, and integration within BI workflows, including scripting and automating processes to enhance BI functionalities.
• Harness your expertise in Power BI to develop and maintain data-driven dashboards, reports, and visualizations that provide valuable insights and drive business decisions.
• Manage the end-to-end data analysis process, from data collection to model building and interpretation.
• Develop, maintain conceptual, logical, and implement physical data models along with the technical metadata using the industry best practices and principles.
• Craft and maintain advanced data models to facilitate reporting and analysis, ensuring optimization for performance and scalability.
• Uphold data accuracy and integrity throughout the BI and Analytics process, employing measures to validate and uphold data quality standards.
• Establish and execute a resilient BI and Analytics framework aligned with organizational objectives, setting benchmarks for data analysis, modeling, and visualization.
• Employ cutting-edge analytics methods for predictive modeling and data projection, exploring novel approaches to uncover latent insights within datasets.
• Monitor BI solution performance and enact optimizations as needed, conducting regular assessments to maintain the effectiveness of data models and visualizations.
• Develop and maintain data-driven dashboards, reports, and visualizations that provide valuable insights and drive business decisions.
• Manage the end-to-end life cycle of BI and Analytics. Engage, collaborate, and partner with stakeholders to understand their needs and lead them through to delivery

This is a Hybrid working environment : Flexible WFH / Office arrangements

Ideally, you will have:

• Advanced experience in working with Power BI on reporting solutions
• Advanced experience using Python for data manipulation, analysis and integration capabilities
• 5+ years experience in data Analytics Engineering
• Extensive understanding of dimensional modelling, conceptual and logical data models, confirmed modelling, BI and analytics best practices, ETL/ELT, and data governance
• Investment Management and/or Superannuation knowledge is advantageous 
• You must have full working rights in Australia to apply

 
Sound like you?
Please click 'Apply' or email *****@argyle-network.com for a confidential discussion.

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Finding the best talent for the Australian FinTech industry

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