Accolite
PowerBI
Job Description
Key Responsibilities
• Design, develop, and deploy Power BI reports, dashboards, and visualizations to support Business Lending teams (Risk, Product, Operations, Relationship Management).
• Collaborate with business stakeholders to gather requirements, translate them into data models, and deliver actionable insights.
• Develop data models (DAX, Power Query, SQL) optimized for performance and scalability.
• Integrate data from multiple sources (e.g., loan origination systems, credit risk systems, customer data platforms, core banking).
• Ensure BI solutions align with NAB’s data governance, security, and compliance standards.
• Partner with data engineers to ensure data pipelines and data quality meet reporting needs.
• Deliver self-service BI capabilities for business users while providing guidance on Power BI best practices.
• Monitor, troubleshoot, and optimize performance of BI solutions.
• Stay updated on emerging BI/Power BI features and recommend improvements to NAB’s analytics capabilities.
Key Skills & Experience
• 3+ years of experience as a Power BI Developer (preferably in Banking/Financial Services).
• Strong expertise in Power BI Desktop, Power BI Service, DAX, Power Query (M language).
• Proficiency in SQL and working with relational databases (e.g., Oracle, SQL Server, Snowflake, Teradata).
• Experience with data modelling, ETL processes, and integrating large datasets.
• Strong understanding of business lending products and lifecycle (origination, credit assessment, servicing, collections) is highly desirable.
• Ability to work closely with business users, analysts, and data engineers to translate requirements into technical solutions.
• Understanding of data governance, security, and compliance in banking.
• Strong problem-solving skills, attention to detail, and ability to work in an agile environment.
Nice to Have
• Experience with Azure data stack (Data Factory, Synapse, Databricks).
• Knowledge of risk and regulatory reporting in the lending space.
• Exposure to visual analytics design principles and data storytelling.
• Familiarity with Python/R for advanced analytics.
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