Business Intelligence Solutions Architect
2 weeks ago
At the forefront of consumer and business lending, we serve over 100,000 customers across Australia.
This role involves designing pipelines, building dashboards, and delivering insights that drive strategic decisions across the organisation.
About the Role
- As a Business Intelligence Engineer, you will be responsible for producing and enhancing recurring and ad-hoc reports that support our business units at every level.
- You will develop financial dashboards, key performance indicators (KPIs), and other visualisations that provide actionable insights, enabling teams to track progress and make data-driven decisions with confidence.
- Designing, managing and optimising Extract, Transform, Load (ETL) processes will ensure the smooth movement and transformation of large data sets from diverse sources.
- Maintaining the accuracy, security, and reliability of our Data Vault warehouse is crucial, as you work to ensure that business-critical data is always accessible, dependably accurate and ready for analysis.
- By applying statistical and analytical methods, you'll uncover meaningful patterns and emerging trends within our data. Your analysis will support customer segmentation initiatives and inform risk profiling, playing a key part in shaping business strategy and improving customer outcomes.
- Contributing to establishing and refining our data governance policies and reporting frameworks will involve helping to define best practices, set standards, and plan the roadmap for scalable analytics solutions that will grow alongside the organisation.
- Leveraging the Microsoft BI stack—including Power BI, SQL Server, and Azure—you'll create robust, secure, and scalable business intelligence systems.
- Collaboration with cross-functional teams is key, as you will design and implement solutions that must deliver real financial value across the organisation.
About You
- Excellent communication and stakeholder management abilities are essential. You thrive in collaborative environments, translating complex technical concepts into clear, actionable insights for both technical and non-technical audiences.
- Between three to five years of practical experience in business intelligence and data engineering is required, demonstrating a strong track record of designing, developing, and managing BI solutions in a dynamic environment.
- Advanced proficiency in programming languages and exceptional SQL skills are necessary, enabling you to efficiently query, manipulate, and optimise large and complex data sets for meaningful analysis.
- Power BI and the broader Microsoft BI stack, including SQL Server and Azure, are key tools in building scalable and secure dashboards and data solutions that meet the diverse needs of stakeholders across the organisation.
- A solid foundation in quantitative and analytical disciplines, such as computer science, statistics, business analytics, or a related field, equips you with the theoretical and practical knowledge necessary for high-quality BI work.
- Excelled at gathering requirements, managing expectations, and fostering productive relationships with colleagues from a wide range of disciplines, ensuring that BI solutions align with evolving business priorities and deliver real value at every level of the organisation.
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