Lead, Data and Analytics

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, and 4 weeks at 2 yrs.

• Career development opportunities

• A collaborative values-based team culture

• Wellness programs

• A hybrid working model

• Participation in Communities of Inclusion

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

The lead, Data and Analytics, is responsible for leading the development of primary data analysis to support the development and implementation of Ontario Health’s clinical quality initiatives. They will support the identification, acquisition, and adaptation of data elements, datasets, and analytical methods. They will also interpret and present analyses and conclusions through a variety of formats for a range of decision-makers.

This role will design and conduct analyses of administrative and clinical data to identify areas of Ontario’s health care system where quality gaps may exist between current practice and optimal care, suggesting the potential for improvement. Using Ontario’s health administrative databases, they will develop descriptive analyses of populations and service areas of interest, examine and interpret regional and institutional variations in use and outcomes, and compare data on practice patterns and performance with other health systems.

The lead will identify and leverage the findings of relevant published research and combine these with their own primary data analyses. They will work with and develop analytical plans for external researchers to conduct more complex analyses of linked and record-level data.

The Lead will also be responsible for leading the exploration of emerging technologies and analytics capabilities in alignment with the strategy, goals and objectives of Ontario Health’s clinical quality initiatives. Through their extensive technical knowledge and ability to master new tools quickly, they will develop best practices and lead proof-of-concept analytic products, workflows and advanced analytics that can be operationalized within the team for greater efficiency. It is expected they will leverage both existing (SAS) and alternate coding languages (R/Python), Business Intelligence tools, and new cloud platforms such as our Analytics Data Hub and Microsoft Azure. They will play a key role in establishing new reporting solutions via an online reporting platform utilizing Power BI.

Here is what you will be doing:

Analysis and Content Development

• Serve as a subject matter expert on Ontario’s health care administrative databases and provide guidance and recommendations to the Quality Division on data analytics and measurement

• Provide leadership on measurable areas of quality improvement for various health topics; develop related indicators

• Develop the required processes and tools to implement key activities and deliver on program plans

• Gather and analyze data using analytical techniques, complex data collection, survey instruments, bibliographic research methods, software applications, and statistical analytics

• Translate complex information into meaningful analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to inform strategic clinical priorities, and recommend actions to address quality issues

• Address information gaps and limitations by accessing new data and information sources, improving the use of existing data sources, and developing new resources or tools

• Solicit, articulate, and scope research questions on clinical and health services issues and health system analysis and planning, and translate these into analytical projects

• Work on multiple projects and assignments while shifting and adapting work in response to changes in program priorities and timelines

• Lead the creation/development/management of new reporting solutions for dissemination to multiple audiences (internal and external to OH) via an online reporting platform utilizing Power BI.

• Perform other assignments and special projects in support of team and departmental objectives as required

Coordination and Collaboration

• Collaborate with team members, other program areas, and external experts to incorporate methods and novel analysis into planning, reporting, and analytical tools

• Develop relationships with team members to understand business/operations activities and analysis needs, share information, and aid in understanding methodologies and results

• Liaise with clinical experts, researchers, administrators, and other stakeholders to define key research questions and areas for analysis related to a variety of topics

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

• Work with experts and available information to assess provincial data sources and their suitability for measuring quality improvement

• Map recommended indicators to data sources and make recommendations on data collection and reporting

• Support the calculation and reporting of quality indicators selected for Ontario Health and external reporting platforms (e.g., public reporting, plans for quality improvement)

• Consult on a broad range of projects led by other team members and across Ontario Health

Leadership

• Provide expertise on Ontario’s health care administrative databases, and provide guidance and recommendations on data analytics and measurement

• Proactively identify and implement ongoing quality improvement opportunities in the programs

• Plan, oversee, and provide direction on work conducted by team members

• Advise on the integrity and appropriateness of analytical and statistical methods used by the team

• Assist in the development of project plans, sequencing activities, and interdependencies, proactively identifying, managing, and escalating issues and risks as needed

• Lead projects, working groups, and committees

• Demonstrate leadership and integrity in all interactions with external stakeholders consistent with Ontario Health’s role as the provincial advisor on health care quality

• Train colleagues to conduct population health needs assessments, creating performance measurements, identifying funding priorities, and evaluating strategies that support high-quality population health management

• Provide guidance and technical expertise regarding Business Intelligence and other modelling solutions to other team members

Here is what you will need to be successful:

Education and Experience

• Master’s degree in health services research, health economics, epidemiology, statistics, or other relevant discipline

• 5 years of experience conducting applied research and analysis in a professional health care environment

• Experience in performance measurement and indicator development

• Expert knowledge of Ontario’s health care data to design and conduct analyses of administrative and clinical data

• Experience using health care and demographic datasets and standards, including CIHI (DAD, NACRS, CCRS, NRS), ON-MARG, and Statistics Canada census, considered an asset

• Experience with health equity data, patient experiences, and outcomes considered an asset

• Knowledge of the Canadian health care system and health care administrative data

• Advanced knowledge of and experience working with statistical packages (e.g., SAS, R, Python)

• Experience with Power BI, including associated 3rd party tools such as Tabular Editor and DAX Studio

• Experience with SQL coding

• Expert MS Excel skills (data manipulation, advanced formulas, pivot tables, data model, scenario analysis, VBA) required, including ability to query and analyze data with spreadsheet, database and other analytics software

• Knowledge of Microsoft Azure platform and available services an asset

• Knowledge of research methods

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

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

• Experience with Microsoft Office applications (Excel, Word, PowerPoint)

Skills and Abilities

• Ability to conduct analyses of large datasets using statistical, visualization, and reporting tools

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

• Demonstrated initiative and independence in taking appropriate action and anticipating organizational needs

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

• Ability to work effectively with colleagues, stakeholders, and the public from diverse backgrounds who have varying degrees of technical experience

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

• Strong attention to detail to ensure accuracy

Salary Band: 6

Location: GTA, 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: June 21, 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.