Power BI Analytics & Reporting Analyst

A098 AGL Energy Limited; Melbourne; On-site; AUD 90,000 - 130,000; Full time

Job summary

AGL Energy Limited is seeking a Reporting & Solutions Analyst within its Asset Services division to transform business needs into actionable reporting. The role emphasizes delivering insightful metrics through Power BI, SQL, and semantic data models, while exploring automation and AI opportunities to increase efficiency.

You will collaborate with stakeholders across operations to ensure reliable, scalable analytics, leveraging platforms like SEEQ, Aveva Pi, and cloud analytics tools.

Qualifications

• Experience with Power BI report development and performance optimization.
• Experience with SQL, DAX, and Power Query for data transformation.
• Knowledge of dimensional modelling and star schemas.
• Experience with Microsoft Fabric, Databricks, and cloud analytics platforms.
• Experience in energy/utilities sector is advantageous.
• Tertiary qualification in IT/CS/Data Analytics/Engineering is highly regarded.

Responsibilities

• Translate business requirements into reporting outputs using Power BI and SQL.
• Develop and maintain data assets and semantic models.
• Automate reporting processes and explore AI opportunities.
• Ensure timely delivery of internal and external reports.
• Collaborate with stakeholders across Asset Services.

Skills

Power BI

SQL

DAX

Power Query

Dimensional modelling

Databricks

Microsoft Fabric

Data warehousing

Stakeholder engagement

Education

Tertiary qualifications in IT/CS/Data Analytics/Engineering

Tools

SEEQ

Aveva Pi

Microsoft Fabric

Databricks

Power Platform

Job description

AGL Energy Limited is seeking a Reporting & Solutions Analyst within its Asset Services division to transform business needs into actionable reporting. The role emphasizes delivering insightful metrics through Power BI, SQL, and semantic data models, while exploring automation and AI opportunities to increase efficiency.

You will collaborate with stakeholders across operations to ensure reliable, scalable analytics, leveraging platforms like SEEQ, Aveva Pi, and cloud analytics tools.