Transformation & AI Analytics Business Analyst

University Health Network; Ontario (CA); On-site; USD 52,000 - 64,000; Full time

Benefits offered by this job

HOOPP Pension

Transit access

Flexible work environment

Development opportunities

Corporate discounts

Job summary

University Health Network (UHN) is seeking a Business Analyst in Transformation and Innovation to focus on AI, advanced analytics, and rapid prototyping. You will bridge strategic thinking with hands-on prototyping, translating complex challenges into actionable insights and building AI-enabled demos across clinical and operational domains.

The role emphasizes collaboration with strategy, data, and clinical teams, applying responsible AI considerations, and leading agile experimentation within a

Qualifications

• Undergraduate degree in Business/Health Administration, Finance, Engineering or equivalent.
• Graduate degree (MBA, MHA, MSc) is an asset.
• 1–3 years of experience in management consulting, strategy, analytics, or related role, preferably in healthcare.

Responsibilities

• Break down complex problems into clear analytical approaches.
• Support development of strategic plans and transformation roadmaps.
• Identify opportunities where AI and analytics can drive impact.
• Develop analyses and recommendations for senior leadership.
• Lead short-cycle experiments from idea to prototype to iteration.
• Synthesize topics into concise narratives for decision-making.
• Analyze clinical, operational, and corporate data to generate insights.

Skills

Python

SQL

Power BI

Tableau

AI/LLM APIs

LangChain/LangGraph

Rapid prototyping

Data storytelling

Education

Undergraduate degree in Business/Health Administration/Finance/Engineering

Graduate degree (MBA/MHA/MSc) is an asset

Tools

Power BI

Tableau

Job description

University Health Network (UHN) is seeking a Business Analyst in Transformation and Innovation to focus on AI, advanced analytics, and rapid prototyping. You will bridge strategic thinking with hands-on prototyping, translating complex challenges into actionable insights and building AI-enabled demos across clinical and operational domains.

The role emphasizes collaboration with strategy, data, and clinical teams, applying responsible AI considerations, and leading agile experimentation within a