Data Analyst: Lakehouse & BI (Hybrid, Grad-Friendly)

Andrews Meat; Newcastle; Hybrid; AUD 65,000 - 95,000; Full time

Job summary

Pacific Smiles Group in East Maitland is hiring a Data Analyst to join a growing IT Data Engineering team. Two roles are available: one permanent and one 12-month fixed-term, both full-time with hybrid work after training.

Start date is flexible, with graduates welcome. You will monitor data pipelines, build Power BI reports, and help migrate to a lakehouse on Microsoft Fabric, collaborating with the Data Office Manager and multiple business units.

Qualifications

• SQL skills from study, projects or work (joins, aggregations, window functions)
• Exposure to Power BI or Tableau
• Understanding of data modelling concepts like fact and dimension tables
• Methodical troubleshooting and data validation
• Clear communication with non-technical stakeholders
• Willingness to learn and accept peer review
• Respect for data privacy and confidentiality

Responsibilities

• Monitor daily data pipelines and refreshes, and fix issues when they come up
• Help business users with reporting questions, data discrepancies and access requests
• Build and improve Power BI reports and semantic models
• Develop and test data transformations across lakehouse layers
• Migrate legacy warehouse objects and reports, checking data quality as you go
• Use Git, CI/CD and AI-assisted development tools with peer reviews
• Write documentation and runbooks to share knowledge across the team

Skills

SQL

Power BI

Data modelling

Troubleshooting

Communication

Willingness to learn

Data privacy

Tools

Power BI

Tableau

Job description

Pacific Smiles Group in East Maitland is hiring a Data Analyst to join a growing IT Data Engineering team. Two roles are available: one permanent and one 12-month fixed-term, both full-time with hybrid work after training.

Start date is flexible, with graduates welcome. You will monitor data pipelines, build Power BI reports, and help migrate to a lakehouse on Microsoft Fabric, collaborating with the Data Office Manager and multiple business units.