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Analytics Engineer jobs in Australia

• The average pay for Analytics Engineer jobs in Australia is $129K per year.
• Entry-level positions start at $90K per year, while the most experienced workers can earn up to $179K per year.
9 companies are currently advertising Analytics Engineer jobs in Australia including EY, Whizdom Recruitment, Albemarle Corporation, Macquarie Group and Wesfarmers.
• Top skills include SQL, DATA SCIENCE, BUSINESS INTELLIGENCE, ETL and REAL TIME.
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Expiring today
Full time · Permanent
Similar jobs pay ~$150k - $180k

Pay information not disclosed by advertiser

Key points we found

  • Design and build semantic models and analytics-ready datasets in Microsoft Fabric.
  • Bring AI into the reporting workflow, focusing on finance and commercial reporting.
  • Own data quality and modelling standards as the platform scales.
Posted 1d ago
Full time · Permanent
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Own the accuracy, reliability, and scalability of financial data and reporting.
  • Standardise financial models across multiple markets for internal and external reporting.
  • Collaborate with finance, commercial, and engineering teams to shape data collection and reporting.
Posted 1d ago
Full time · Permanent
Similar jobs pay ~$90k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Own the accuracy, reliability, and scalability of financial data and reporting.
  • Collaborate with finance, commercial, and engineering teams to standardise financial models.
  • Monitor data quality and maintain documentation of reporting models.
Expiring in 4d
Full time · Permanent
Similar jobs pay ~$90k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Ensure quality, integrity, and reliability of data across the enterprise data platform.
  • Design and execute end-to-end testing strategies for data pipelines and analytical solutions.
  • Collaborate with cross-functional teams to translate business requirements into testable solutions.
+60d ago
Full time · Permanent
Similar jobs pay ~$108k - $164k

Pay information not disclosed by advertiser

Key points we found

  • Join a high-trust, remote-first culture at Octopus Deploy.
  • Build reports, dashboards, and forecasting models to inform product and business decisions.
  • Collaborate with teams to explore data and identify trends.
Posted 13d ago
Full time · Permanent
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Build resilient, high-throughput pipelines for real-time threat detection.
  • Design AI-ready data infrastructure for security metrics.
  • Collaborate with security teams to enable informed decision-making with data.
+60d ago
Full time · Permanent
Similar jobs pay ~$100k - $130k

Pay information not disclosed by advertiser

Key points we found

  • Build and manage data pipelines to integrate marketing and CRM data into a single source of truth.
  • Design and optimise predictive lead scoring models using behavioural, demographic, and firmographic data.
  • Implement advanced attribution and media mix modelling to fine-tune ad spend and boost ROI.
Posted 22d ago
Full time · Permanent
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Lead the design and delivery of scalable data and analytics solutions.
  • Collaborate with stakeholders to drive alignment and value from data initiatives.
  • Mentor and coach team members to foster a strong data engineering culture.
Posted 17d ago
Full time · Permanent
Similar jobs pay ~$130k

Pay information not disclosed by advertiser

Key points we found

  • Transform autonomous mining data into dashboards and operational insights.
  • Support productivity, safety, and operational investigations through data analytics.
  • Utilise SQL, Python, and Power BI to create user-friendly reporting outputs.
Posted 60d ago
Full time · Permanent
Similar jobs pay ~$100k - $130k

Pay information not disclosed by advertiser

Key points we found

  • Build and administer TM1 models
  • Support existing reporting and analytics products while developing new ones
  • Work with large and complex data sets from diverse sources.