in all categories

Business/Systems Analysts (IT) jobs in Lower North Shore Sydney NSW

• The average pay for Business/Systems Analysts jobs in Lower North Shore Sydney NSW is $105K per year.
• Entry-level positions start at $81K per year, while the most experienced workers can earn up to $183K per year.
10 companies are currently advertising Business/Systems Analysts jobs in Lower North Shore Sydney NSW including TPG Telecom, Allianz Technology SE Australia Branch, HCF - Information Technology, Dialog Group and Talenza.
• Top skills include BUSINESS REQUIREMENTS, SQL, CONTINUOUS IMPROVEMENT, DATA ANALYST and SDLC.
Showing 4 jobs
Sort by
Relevance
+60d ago
Full time · Permanent
Similar jobs pay ~$90k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Work with iconic brands including Caroma and Methven
  • Act as the link between business teams and data, owning insights and reporting
  • Build dashboards in Power BI and write SQL queries
Expiring in 3d
Full time · Permanent
Similar jobs pay ~$80k - $100k

Pay information not disclosed by advertiser

Key points we found

  • Manage and enhance asset information within IBM Maximo and related systems.
  • Transform asset data into actionable insights for maintenance planning and performance reporting.
  • Support asset lifecycle planning and ensure compliance with relevant standards.
Posted 51d ago
Full time · Contract
Similar jobs pay ~$90k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Translate complex business needs into clear, testable requirements.
  • Work closely with stakeholders and delivery teams to ensure well-designed solutions.
  • Focus on agile delivery and continuous improvement to enhance outcomes.
Expiring in 4d
Full time · Permanent
Similar jobs pay ~$150k - $180k

Pay information not disclosed by advertiser

Key points we found

  • Lead and develop the BA chapter, overseeing hiring and performance.
  • Establish high-quality standards for requirements and process modelling.
  • Drive the chapter's evolution towards AI fluency and agent-based tools.