Ai Business Analyst jobs in Sydney NSW
• The average pay for Ai Business Analyst jobs in Sydney NSW is $261K per year.
• Entry-level positions start at $168K per year, while the most experienced workers can earn up to $336K per year.
• 3 companies are currently advertising Ai Business Analyst jobs in Sydney NSW including Morgan McKinley, GOW Recruitment and Hays.
• Top skills include STAKEHOLDER ENGAGEMENT, MARKETING ANALYSIS, PROCESS MAPPING, PYTHON and COLLABORATIVE.
• Entry-level positions start at $168K per year, while the most experienced workers can earn up to $336K per year.
• 3 companies are currently advertising Ai Business Analyst jobs in Sydney NSW including Morgan McKinley, GOW Recruitment and Hays.
• Top skills include STAKEHOLDER ENGAGEMENT, MARKETING ANALYSIS, PROCESS MAPPING, PYTHON and COLLABORATIVE.
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Expiring in 2d
Full time
·
Permanent
Similar jobs pay
~$140k - $160k
AU$140000 - AU$160000.00 per annum
Key points we found
- Partner with a Delivery Lead to utilise AI tools.
- Drive internal efficiencies and enhance decision-making processes.
- Focus on improving customer experiences through AI automation.
Posted 15d ago
Full time
·
Permanent
Similar jobs pay
~$80k - $100k
Pay information not disclosed by advertiser
Key points we found
- Drive smarter, faster, and more innovative ways of working across clinical trial operations.
- Assist with business cases, requirements gathering, process mapping, and user acceptance testing.
- Build and maintain dashboards and simple automations under supervision.
Expired 18d ago
Contract
Similar jobs pay
~$202k - $253k
$800 - $1000 pd
Key points we found
- Join a leading financial services organisation as an AI Business Analyst.
- Analyse and map current finance processes to identify AI-driven automation opportunities.
- Collaborate with technology teams and finance stakeholders to design future-state solutions.
Expired 20d ago
Full time
·
Permanent
Similar jobs pay
~$200k - $337k
Competitive
Key points we found
- Bridge the gap between frontline operations and digital transformation.
- Document end-to-end job pack processes and uncover operational pain points.
- Collaborate with technical teams to ensure business intent is preserved during automation.