Cardinal Health Canada, with over 1,300 employees nationwide, is an essential link in the Canadian healthcare supply chain, providing over 70,000 products to healthcare facilities and medical professionals across the country.
The Data & Analytics Function manages the analytics lifecycle, from data platforms and access through reporting, business intelligence, and advanced quantitative modeling. The function delivers relevant insights that inform business decisions, anticipate opportunities, and strengthen competitive advantage.
We are seeking a highly analytical, business-oriented Data Analyst to transform complex data into actionable insights that support strategic and operational decision-making. The ideal candidate combines advanced SQL and business intelligence expertise with strong business acumen and clear communication skills.
This role serves as a trusted advisor to business stakeholders by leading discovery sessions, defining measurable outcomes, translating needs into scalable analytical solutions, and communicating recommendations across the organization. Success requires intellectual curiosity, comfort with ambiguity, and the ability to use emerging technologies, including AI-enabled analytics, to improve how insights are developed and delivered.
This position is a hybrid model with two days reporting to our head office in Vaughan, Ontario.
For more information on what it is like to work for us, please watch our Cardinal Health - Wings
Your Contributions to the Organization will be:
- Partner with business stakeholders to understand strategic objectives, gather requirements, and translate complex business challenges into analytical solutions
- Own the design, development, deployment, and ongoing enhancement of scalable reporting and business intelligence solutions that support defined business outcomes and trusted decision-making
- Develop intuitive dashboards, scorecards, and governed self-service analytics experiences using platforms such as Looker or Tableau, with appropriate performance, usability, and adoption considerations
- Write advanced SQL to explore, validate, and analyze large data sets from multiple enterprise sources, and partner with Data Engineering when reusable transformations or modeled data assets are required
- Lead requirements and discovery workshops with cross-functional teams to define business questions, users, success metrics, data needs, scope, and acceptance criteria for analytical solutions
- Apply data storytelling best practices to communicate analytical findings clearly and effectively to both technical and non-technical audiences
- Identify opportunities to improve business performance through data analysis, tre