Data Analyst
Role Overview
The Data Analyst transforms complex data into actionable insights for strategic and operational decisions.
The role serves as a trusted stakeholder advisor, leading discovery, defining measurable outcomes, translating needs into analytical solutions, and communicating recommendations.
The position uses emerging technologies, including AI-enabled analytics, to improve insight development and delivery.
Key Skills for This Role
Full Job Posting
Organization
Cardinal Health Canada has more than 1,300 employees and supplies over 70,000 products to healthcare facilities and medical professionals across Canada.
The Data & Analytics Function manages the analytics lifecycle, from data platforms and access to reporting, BI, and advanced quantitative modelling.
Role overview
The Data Analyst transforms complex data into actionable insights for strategic and operational decisions.
The role serves as a trusted stakeholder advisor, leading discovery, defining measurable outcomes, translating needs into analytical solutions, and communicating recommendations.
The position uses emerging technologies, including AI-enabled analytics, to improve insight development and delivery.
Workplace
- Hybrid model with two days reporting to the head office in Vaughan, Ontario.
Responsibilities
- Gather stakeholder requirements and translate strategic objectives and business challenges into analytical solutions.
- Design, deploy, and enhance scalable reporting and BI solutions; create dashboards, scorecards, and governed self-service analytics.
- Use advanced SQL to analyze and validate enterprise datasets and partner with Data Engineering on reusable data assets.
- Lead discovery workshops to define business questions, users, metrics, data needs, scope, and acceptance criteria.
- Communicate findings through data storytelling; identify trends, root causes, performance opportunities, and process improvements.
- Use AI-enabled tools to automate workflows and accelerate insight generation; monitor analytics, process-mining, and AI trends.
Qualifications
- Advanced SQL development experience, including complex queries and performance optimization.
- Extensive dashboard and visual analytics experience using Looker, Tableau, Power BI, or similar BI platforms.
- Knowledge of dashboard design, user experience, filtering, drill-down, self-service analytics, dimensional modelling, data warehousing, and analytical data structures.
- Strong communication, presentation, facilitation, stakeholder-alignment, and problem-solving skills; ability to balance technical constraints with business priorities.
- Bachelor's degree in a related field or equivalent practical experience preferred; five or more years in analytics, BI, reporting, or related roles preferred.
- Experience with cloud analytics platforms such as BigQuery, Databricks, Snowflake, or comparable technologies; Agile and cross-functional delivery experience.
- Experience using AI-assisted development and prompt engineering.
Preferred qualifications
- Looker and Google Cloud Platform experience preferred.
- Experience with SAP data structures and enterprise business processes preferred.
- Experience with process-mining platforms is preferred.
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