Decision Support Analyst (RFT 1.0 FTE) in Ottawa

Our current hybrid model requires employees to workon-site three days per week. This schedule supports collaboration while offering flexibility. Please note thaton-site requirements may change at any timebased on operational needs.

About the Position

Reporting to Manager, Data & Analytics, the Decision Support Analyst supports data-driven decision-making by designing, developing, and maintaining reports, integration pipelines, dashboards, and reporting solutions that ensure The Royal’s data and analytics environment is accurate, secure, reliable, and performant.

Key Responsibilities

• Identify data quality issues in existing hospital data such as from the electronic health record, HR system and patient safety system.
• Conduct data analysis and produce reports and presentations for varied audiences.
• Design, test, and implement tools and processes for extracting and managing evidence and performance data.
• Provide support and services across The Royal’s multi-site organization, including our two main campuses and office locations in Ottawa and Brockville, ensuring consistent, high-quality delivery of operational, administrative, and/or clinical functions throughout the hospital
• Support data-related projects from initiation to completion.
• Support local project design, methodology development, data collection, analysis, and monitoring to enable standardized, high-quality reporting to OHRS and other administrative, clinical, and performance databases.
• Stay current with evolving methodologies, techniques, and technologies in data analytics and information management.
• Facilitate knowledge exchange and translation across stakeholders.
• Act as a consultant and coach to support capacity building and best practices.
• Provide reliable interpretations and recommend appropriate actions based on data insights.
• Monitor key system performance indicators (e.g., readmissions, wait times) to assess service effectiveness.
• Actively track performance trends and elevate emerging issues to The Royal.
• Provide consultative and analytical support for data collection, interpretation, analysis, and presentation.
• Ensure clinical information management practices align with best practice standards.
• Participate in enterprise projects, including Epic implementation, data migration, system integration, and digital transformation initiatives.

Qualifications

• Masters in Computer Science, Data Science, Information
• Management, Software Engineering
• Minimum three (3) years of relevant experience
• Knowledge of provincial data systems, electronic health records, and associated data infrastructure.
• Proven expertise in data quality, clinical information management best practices, and performance optimization.
• Strong understanding of healthcare performance improvement methodologies, process redesign, and system implementation.
• Skilled in data analysis using Excel, SAS, SPSS, or R; additional assets include Power BI, SQL, and Microsoft 365.
• Excellent communication and interpersonal skills, with the ability to translate complex data insights for diverse audiences.
• Deliver accurate, actionable data to support evidence-informed decision-making and system-level change.
• Demonstrated expertise in data quality, clinical information management best practices, and compliance with PHIPA for safeguarding personal health information.
• Solid understanding of healthcare performance improvement methodologies, process redesign, and system implementation.
• Design, interpret, and promote best practices in performance management systems, including SMART indicators, scorecard measures, and data support processes.
• Conduct efficient and effective data analysis to inform strategic planning and operational improvements.

Language Requirements

• English level A- is mandatory in oral expression, comprehension, reading and writing. Bilingual (French/English) is considered an asset

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