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Senior Data Architect / Data Modeller
LinkedIn Recruiter Post
Senior Data Architect / Data Modeller contract role with Ontario government, focusing on data modeling, migration, and enterprise architecture in a hybrid Toronto location.
About the role
- Health Data & Analytics Analyst supporting data-driven decision-making in healthcare technology. Analyzing data, ensuring quality, and developing operational reports for global solutions.
Responsibilities
- Support the Health Data & Analytics team by gathering and analyzing data, assisting in the development of operational reports, ensuring data quality, and contributing to data-driven decision-making.
- Deliver accurate, reliable, and actionable health information and operational insights.
- Lead data quality initiatives that improve consistency, completeness, and compliance of data assets.
- Develop automated reports and dashboards that support business and clinical decision-making.
- Identify trends, risks, and opportunities through advanced data analysis.
- Collaborate effectively with operational, technical, and business stakeholders.
- Support continuous improvement initiatives across health information and reporting processes.
- Ensure strong governance and best practices in data management and reporting.
Requirements
- 4–5 years of experience in data analytics, health information management, business intelligence, or a related field.
- Experience working within healthcare, health technology, or operational analytics environments preferred.
- Experience of privacy, confidentiality, and healthcare compliance requirements is beneficial.
- Experience with data governance, metadata management, and reporting best practices.
- Exposure to business operations and data flow, operational reporting, and performance metrics within a healthcare setting is an asset.
- Bachelor’s degree in Health Science, Health Information Management, Computer Science, Data Management, Data Analytics or a related field.
- Relevant certifications in analytics, SQL, Power BI, Tableau, Python, AWS, AI or healthcare data management are advantageous.
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