At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province. Our vision is that together, we will be a leader in health and wellness for all. Our mission is to connect the health system to drive improved and equitable health outcomes, experiences and value. How we work together is reflected through our five values: integrity, inspiration, tenacity, humility and care.

What Ontario Health offers:

Achieving your career goals is a priority to us. Benefits of working at Ontario Health may include the following based on employment type:

• Fully paid medical, dental and vision coverage from your first day
• Health care spending account
• Premium defined benefit pension plan
• 3 personal days and 2 float days annually
• Individual contributors start at 3 weeks’ vacation with 4 weeks at 2 yrs.
• Career development opportunities
• A collaborative values-based team culture
• A wellness programs
• A hybrid working model
• Participation in Communities of Inclusion

Want to make a difference in your career? Consider this opportunity.

The senior analyst is responsible for producing high-quality, actionable, and applied epidemiological and health services research and analyses for quality improvement, performance measurement and evidence-based planning and decision-making with the goal of improving patient outcomes, patient and provider experience, value, and equity in the cancer care system. The senior analyst engages with clinical programs and clinical leadership, including clinical cancer programs, integrated diagnosis and genetics programs, the Provincial Drug Reimbursement Program, the Ontario Palliative Care Network, as well as other Ontario Health programs, to identify requirements; analyze, validate, and interpret data; and create reports, scorecards/dashboards, and data visualizations. The Senior Analyst also assists in the development of measurement plans and current state analyses that align with and inform strategic priorities. This role requires comprehensive knowledge and experience in epidemiological or health services research, analysis of healthcare administrative and survey data; and collaborative approaches to conducting end-to-end research and analysis in complex healthcare environments. This role primarily supports the Canadian Cancer Real-world Evaluation Platform.

Here is what you will be doing:

• Collaborates with the Team Lead-Decision Scientist and subject matter experts, including clinical leads, on complex analyses

• Develops and executes on complex analyses and applied research projects, many of which are new: conducts literature reviews, identifies data sources or assists in data collection, develops appropriate methodologies, determines appropriate statistical techniques, conducts purpose-specific data quality analyses, validates derived variables and analyses, interprets findings, and documents methods and limitations

• Contributes to the development of current state analyses and measurement plans that align with or inform strategic objectives

• Drafts reports that summarize research conducted and provides recommendations on actions required, highlighting critical areas for consideration

• Provides clinical analytics support/data to other analytics units including those outside CIQP, such as System Infrastructure and Planning, Funding Unit, and Strategic Analytics.

• Produces reports, scorecards/dashboards, and data visualizations

• Contributes to publications and grant proposals

• Interprets, summarizes and presents key findings to clinical and non-clinical audiences

• Creates analytics products (including technical reports, plain language documentation, infographics, decision-making tools, and manuscripts) to support knowledge sharing and translation, decision-making, and planning

• Assists in the development and continual improvement of tools, templates and business processes required to execute the research and analysis activities

• Ensures processes, analyses and reporting products adhere to Ontario Health’s data protection and privacy procedures

• Oversees and trains junior analysts in completing operational reporting, ad hoc queries and data requests as required and may complete such reports as required

• Provides mentorship to junior staff on implementing rigorous methodology, conducting and validating analyses, creating high-quality and impactful reports, publications and presentations

• Participates in enterprise data and analytics initiatives, such as metadata management, software acquisition and testing, standardization of analytic concepts and methodology, and knowledge transfer and exchange.

• Leverages Business Intelligence (BI) tools for creating efficient reporting solutions and works with BI team to enhance delivery of information to key stakeholders

• Performs other related duties as required to support the Quality Measurement and Evaluation team and Clinical Programs and Quality Initiatives data and analytics functions

Here is what you will need to be successful:

Education and Experience

• Master’s degree in Statistics, Biostatistics, Epidemiology, Health Services Research, Health Informatics, Computer Science, or recognized equivalent, is required

• Five years or more related work experience in epidemiological or health services research and analysis

• Experience performing thorough data quality checks and linkages of health administrative databases

• Experience in statistical modelling or advanced analytics (e.g., regression analysis, survival analysis, cluster analysis, longitudinal analysis, principal component, and factor analysis etc.)

• Experience in health care settings and in using health administrative data

Key Competencies

• Experience coding in programming/statistical languages of SAS and SQL is required. Experience coding in R or Python is an asset.

• Experience with national and provincial healthcare administrative and clinical datasets, including CIHI Discharge Abstract Database and National Ambulatory Care Reporting System, and Ontario Cancer Registry is an asset

• Experience in oncology is an asset

• Knowledge of mixed and qualitative methods is an asset

• Knowledge of program evaluation

• Experience with Natural Language Processing and Machine Learning is an asset

• Conceptual knowledge of health care system performance measurement and health information systems is an asset.

• Ability to conduct independent investigation and analysis required to develop a solution that includes consideration of the contextual causes and effects of the issue

• Ability to translate analytical concepts and findings to both technical and non-technical audiences

• Knowledge and adherence to privacy and confidentiality policies to protect data and information sources

• Strong interpersonal and stakeholder relationship management skills, with the ability to engage and develop analysis with/for different stakeholders.

• Strong written and verbal communication skills, including the ability to effectively engage different stakeholders to gather analysis requirements, discuss analysis options, interpret and synthesize research and technical information, deliver effective presentations to technical and non-technical audiences in a manner and/or medium that is both comprehensive and easy to understand, articulate key messages that resonate with different audiences, and address questions.

• Motivated to achieve high-quality work with attention to detail

• Self-directed, with enthusiasm, initiative, and demonstrated ability to work independently and collaboratively to meet deadlines.

• Strong problem solving and critical thinking skills; able to develop options, recommendations, and assess risks.

• Team player who values collaboration

Employment Type: Permanent Full Time

Salary Band: 5

Location: Ontario (currently hybrid; subject to change)
All applicants must be a resident of Ontario to be considered for roles at Ontario Health.

Internal Application Deadline Date: September 3, 2024

External Application Deadline Date: September 20, 2024

Ontario Health encourages applications from candidates who are First Nations, Métis, Inuit, and urban Indigenous; Francophone; Black and racialized; members of 2SLGBTQIA+ communities; trans and nonbinary; and disabled.
We encourage applicants with accessibility needs to notify us if they have any accommodation needs in the application and/or interview process.

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