Decision Support Analyst (RFT 1.0 FTE)

Royal Ottawa Mental Health Centre; Ottawa; Hybrid; CAD 85.000 - 110.000; Vollzeit

Zusammenfassung

The Royal in Ottawa is seeking a Data & Analytics professional to design, develop, and maintain reports, dashboards, and pipelines ensuring accurate, secure data across the hospital network. You will work in a hybrid model, collaborating with multi-site teams including Brockville and Ottawa campuses.

Applicants should have a Master’s degree in relevant fields and at least three years’ experience, with strong capabilities in data analysis, healthcare data systems, and performance improvement

Qualifikationen

• Master's degree in computer science, data science, information management or software engineering.

Aufgaben

• Identify data quality issues across hospital data sources such as EHR, HR and patient safety systems.

Kenntnisse

Data analysis

Communication

Stakeholder engagement

Consulting

Capacity building

Performance improvement

Ausbildung

Master's in Computer Science

Master's in Data Science

Master's in Information Management

Master's in Software Engineering

Tools

Excel

SAS

SPSS

R

Power BI

SQL

Microsoft 365

Jobbeschreibung

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