Pour obtenir une traduction en français de l'offre d'emploi suivante, veuillez envoyer un courriel à careers@ontariohealth.ca. Les demandes seront traitées dans un délai de trois jours ouvrables et la période de dépôt des demandes sera prolongée de trois jours.

To obtain a French translation of the following job posting, please email careers@ontariohealth.ca. Requests will be addressed within three business days, and the application window will be extended by three business days.

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.

• Fully paid medical, dental and vision coverage from your first day

• a health care spending or wellness spending account

• a premium defined benefit pension plan

• three personal days and two float days annually

• three weeks' vacation to start (for individual contributors), increasing to four weeks after two years

• career development opportunities

• a collaborative values-based team culture

• a wellness program

• a hybrid working model

• participation in Communities of Inclusion

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

The Analyst is responsible for supporting the development of primary data analysis using Ontario's health administrative databases and a concise set of evidence-based guidance with associated quality indicators that Ontario Health develops for topics identified as high priority areas for quality improvement. The Analyst will support in defining quality indicators, map them against currently available provincial datasets and provide advice around local measurement and new data collection where provincial data elements are insufficient.

The Analyst will use their research and data analytical skills and their knowledge of Ontario health care data to support the analyses of administrative and clinical data to identify areas in the Ontario health system that suggest quality gaps between current practice and optimal care. The Analyst will provide descriptive analyses on populations and service areas of interest, examine and interpret regional and institutional variations in utilization and outcomes, and compare data on practice patterns and performance with other health systems. The Data Analyst will identify and leverage the findings of relevant existing published research and combine this with their own primary data analysis.

The Analyst will be responsible for supporting the development of analytical methodology using health administrative and clinical data sources, creating internal and external-facing informational products, and deriving actionable insights to support quality improvement and performance management. As part of the role, the Analyst will work in cross-functional teams with stakeholders who have varying technical knowledge to identify analysis requirements, inform indicator development, prepare and analyze data to support other initiatives within the quality division. In collaboration with the Lead and Senior Analyst, the Analyst may be responsible for communicating information to program areas across Ontario Health and with external stakeholders, subject matter experts and organizations.

Here is what you will be doing:

• Contributes to Ontario Health's mission to bring about meaningful improvement in health care by providing and supporting the use of analytics and evidence to identify unwarranted variation in care

• Provide expert guidance on health care administrative databases in Ontario and provides advice on measurable areas for quality improvement related to Quality Standard topics or other projects

Analysis and Content Development:

• Conduct the analysis of different sources of administrative and clinical data related to a broad spectrum of health care topics foci

• Conduct quantitative analysis using Ontario's Health administrative data and Intellihealth and/or CIHI portal applications

• Inform and contextualize primary Ontario data analysis using peer-reviewed research and grey literature published in the topic area

• Develop accessible presentations on analysis methods, results and conclusions for a wide range of audiences (including clinicians, administrators, policy makers, patients, families and caregivers)

• Work with experts and available information to assess available provincial data sources in key areas and their suitability for measurement of key quality statements; identifies gaps in available data elements and measurement and options for filling these gaps at the provincial and local levels

Coordination and Collaboration:

Collaborates with Quality division colleagues:

• Integrate analytics with colleagues' work synthesizing clinical guidelines and other literature to develop quality statements

• Summarize, analyze and assist with the preparation of documents and presentation material

• Integrate data analysis and measurement-related content into presentations, reports and other documents

• Develop other tools and products related to the quality standards and to support their implementation

• Supports development of recommendations on quality indicators

• Supports mapping of recommended indicators to existing data sources and make recommendations on data collection and reporting

• Support calculation and reporting quality indicators selected for Ontario Health and external reporting platforms (e.g., public reporting, Quality Improvement Plans, personalized reporting vehicles)

Relationship Management:

• Develops relationships with colleagues within team, across the organization and externally to understand business/operations activities and research needs, shares information, and provides assistance in understanding methodologies and results

• Coordinates with internal and external stakeholders to execute project activities

• Collaborates with internal colleagues to ensure projects are delivered on time and on budget

Education and Experience

• Undergraduate degree in health services research, epidemiology, social or health sciences, biostatistics, mathematics, statistics, or another relevant discipline, Master's preferred

• 3 years of experience using research analytical techniques

• Experience working with statistical packages (SAS, Stata, R, etc.) is preferred

• Experience with administrative and/ or clinical data in the Ontario setting

• Experience working with IntelliHealth, CIHI Portal or similar health care data analysis platforms

• Knowledge of health indicators (e.g., definitions, reporting periods, populations) preferred

• Knowledge of data quality methodologies

• Experience working with Microsoft Office software and applications, Excel, Word and Powerpoint

Knowledge and Skills

• Expert knowledge of Ontario's health care data to design and conduct analyses of administrative and clinical data to identify areas in the Ontario health system that suggest quality gaps between current best practice and optimal care

• An understanding of health equity, including the social determinants of health and their impacts on health outcomes for different populations.

• Experience with health equity data, patient experiences, and outcomes for specific populations would be an asset.

• Strong interpersonal and relationship-building skills, with demonstrated experience engaging and building relationships and consensus among diverse stakeholders

• A novel thinker who enjoys generating and exploring innovative ideas and solutions

• Strong attention to detail to ensure accuracy

• Demonstrated initiative and independence to take appropriate action and anticipate organizational needs

• Ability to seek and weigh opinions and evidence, compromising where necessary on ways and means but not on principles or goals

• Ability to deal effectively with colleagues, stakeholders, and the public from different disciplines with varying degrees of technical experience

• Capacity to work effectively in a rapid-pace work environment

• Ability to complete tasks, as assigned, in a timely manner with high-quality results

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