Decision Support Analyst Decision Support

Role overview

Duties and responsibilities

• Analyze and present data with the team, maintain technical specifications, and conduct validity and data-quality checks.
• Support clients with analytical plans, statistical analysis, KPIs, benchmarking, visualizations, and routine or ad hoc reporting.
• Interpret quantitative and qualitative information with clients to inform strategic, operational, quality, and improvement plans.
• Extract, transform, and analyze complex information from database servers and clinical systems.
• Support reporting to and from external agencies and data portals, including MOHLTC, funding agencies, and CIHI.
• Follow internal policies and procedures and protect patient and employee confidentiality.
• Consult with clients on analytics for strategy, business cases, quality improvement, performance, funding, research, and evaluation projects.
• Liaise across the organization on projects, reports, and ad hoc requests; educate end users about data interpretation.
• Connect data to business and clinical concepts and contribute to data quality and process improvement.
• Work with partner teams to identify data sources and analytical techniques, including predictive, simulation, and optimization models.
• Identify routine reporting efficiencies and opportunities to reduce manual work.
• Contribute to team learning, process standardization, and tool development.

Qualifications

• An applicable undergraduate degree is required; fields listed include health informatics, biostatistics, epidemiology, public health, statistics, mathematics, engineering, computer science, or science.
• A related master's degree, completed or in progress, is an asset.
• At least three years of experience in decision support or an analytical environment is required; healthcare experience is preferred.
• Hospital-data experience, including DAD, NACRS, OMHRS, NRS, or CCRS, is preferred.
• Knowledge of the healthcare environment and industry is expected.
• Experience with enterprise data warehouses and relational databases is required.
• Competency in qualitative and quantitative analytics, visualization, and reporting is required.
• Proficiency with tools such as SAS, SQL, Python, and Tableau is required.
• Clear communication, presentation, problem-solving, analytical, critical-thinking, organizational, and time-management abilities are required.
• Strong computer skills, including Excel, Access, Word, and PowerPoint, are required.

Additional information