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Reporting into the Applications Manager, the Data & AI Specialist plays a critical role in managing and optimizing the organization's data analytics and artificial intelligence capabilities, with a strong focus on Power BI administration and the enterprise data warehouse (EDW). This role requires a blend of technical expertise in Power BI administration, AI/ML technologies, data analytics, and enterprise data governance, along with strong communication skills to collaborate with business and IT teams. Key responsibilities include overseeing the Power BI tenant at an enterprise level—managing workspaces, security, licensing, and performance optimization—while ensuring seamless integration with the data warehouse and exploring AI-driven analytics solutions. The specialist will work closely with data engineers, analysts, and business leaders to define reporting standards, implement AI/ML capabilities, improve data accessibility, and enforce governance policies. Additionally, this role involves acting as a bridge between technical teams and business stakeholders, advocating for data best practices, optimizing data models for reporting, supporting self-service BI initiatives, and identifying opportunities to leverage AI and machine learning for business insights. The ideal candidate has a strong background in data analytics, proficiency in SQL and DAX, experience working with cloud-based data platforms, knowledge of AI/ML technologies, and the ability to drive adoption of Power BI and AI-driven analytics as strategic tools across the organization.
Job Responsibility:
Power BI Administration & Governance: Manage and optimize the enterprise Power BI tenant, including licensing, security, and performance tuning
Oversee workspace and dataset management, ensuring efficient and scalable data models
Implement and enforce Power BI governance policies, including role-based access control (RBAC) and row-level security (RLS)
Monitor and troubleshoot Power BI service performance, refresh failures, and user access issues
AI & Advanced Analytics: Identify and implement opportunities to leverage artificial intelligence and machine learning for business insights and predictive analytics
Collaborate with data scientists and engineers to deploy AI/ML models into production environments
Explore and evaluate emerging AI technologies and their applicability to business challenges
Support the development of AI-driven dashboards and automated insights within Power BI
Audit AI Technologies effectiveness and optimise AI/ML Models
Review and apply PLS AI Governance and Standards
Enterprise Data Warehouse (EDW) Integration & Stakeholder Collaboration: Act as a key stakeholder for the enterprise data warehouse, ensuring Power BI solutions align with EDW architecture
Collaborate with data engineers to optimize data pipelines and ensure high-performance data models
Work with business teams to define reporting requirements and improve data accessibility
Advocate for best practices in data management, governance, and reporting across the organization
Data Analytics & Reporting Optimization: Develop, maintain, and optimize Power BI reports and dashboards for business insights
Enhance data models with efficient DAX calculations, relationships, and aggregations
Ensure data accuracy and consistency across reports and datasets
Provide support for self-service BI users, promoting best practices in report development
Training & Support for Business Users: Educate and train business users on Power BI tools, capabilities, and self-service analytics
Create documentation and best practice guidelines for Power BI usage
Act as a point of contact for troubleshooting and Power BI-related queries
Facilitate adoption of Power BI as a strategic tool for data-driven decision-making
Requirements:
A bachelor’s or master’s degree in a relevant field such as data science, statistics, or business analytics
Bachelor’s Degree Required
Microsoft Power BI Certification: DA-100 | PL-300
Snowflake certification “SnowPro Core COF-C02”
Power BI Administration & Governance – Experience managing an enterprise Power BI tenant, including security, licensing, and workspace management
Data Modeling & DAX Expertise – Strong proficiency in DAX, Power Query (M), and SQL for creating efficient and scalable data models
Enterprise Data Warehouse (EDW) Integration – Experience working with enterprise data warehouses and optimizing Power BI connections for performance
Data Governance & Security – Knowledge of row-level security (RLS), object-level security (OLS), and role-based access control (RBAC) in Power BI and data platforms
Performance Optimization – Ability to diagnose and optimize Power BI reports, data models, and refresh schedules to ensure efficiency
Stakeholder Engagement – Experience working with business users, data engineers, and IT teams to define reporting requirements and ensure data accessibility
Self-Service BI Enablement – Ability to train and support non-technical users in Power BI best practices while promoting a self-service analytics culture
Problem-Solving & Troubleshooting – Strong analytical skills for debugging performance issues, data discrepancies, and system errors in Power BI
What we offer:
18 weeks parental leave for primary carers and 4 weeks for secondary carers
Health and wellbeing allowance
Annual short-term incentive bonus that recognises individual and business performance
PLS employee share scheme
Novated leasing through salary sacrifice
Newly refurbished facilities at Pilgangoora including gym, tennis, pickleball and volleyball courts, sports oval, and scenic walking tracks