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:
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Fully paid medical, dental and vision coverage from your first day
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a health care spending account
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a premium defined benefit pension plan
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three personal days and two float days annually
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three weeks’ vacation to start (for individual contributors), increasing to four weeks after two years
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career development opportunities
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a collaborative values-based team culture
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a wellness program
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a hybrid working model
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participation in
Communities of Inclusion
Want to make a difference in your career? Consider this opportunity.
Here is what you will be doing:
This is a strategic and hands-on role, in which the individual would support the performance and analytics for the Ontario Laboratory Medicine Program (OLMP).
The Senior Analyst, Performance and Analytics, reports to the Manager, Performance & Analytics. The Senior Analyst will support the development of primary data analysis and reporting content for emerging provincial laboratory medicine issues, high-priority initiatives, and testing programs. In doing so, they will use Ontario's health administrative databases and other tools within Ontario Health. They will support the development of data visualizations, report on key performance indicators, link variables against currently available provincial datasets, provide advice on measurement and new data collection where provincial data elements are insufficient, and communicate data analytics in an efficient and easily understandable way to internal and external stakeholders.
The Senior Analyst will use their technical data analytical skills and their knowledge of Ontario's health care data to support the analyses of administrative and clinical data to identify areas of Ontario's health care system that suggest quality gaps between current practice and optimal care. They 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 and performance with those of other health care systems. They will identify and leverage the findings of relevant existing published research and combine these with their own primary data analysis to develop analytical plans and reporting products. They are responsible for recommending courses of action and implementing resolutions to complex data problems.
The Senior Analyst will develop analytical tools and resources using health administrative and clinical data sources, create internal and external information products, and derive actionable insights to support quality improvement and performance management. They will work in cross-functional teams with stakeholders with varying degrees of technical knowledge to identify analysis requirements and prepare and analyze data to support other initiatives within the OLMP. In collaboration with the Lead, Manager and Director, they are also responsible for communicating information to contacts across Ontario Health, as well as to external stakeholders, subject matter experts, and organizations such as various Ministry departments and laboratory partners.
Here is what you will need to be successful:
Data Analysis & Reporting
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Conduct data analysis as it relates to laboratory testing for the OLMP and leverages results to inform evidence-based decisions
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Create analytic products (including performance standards, metrics, targets, scorecards, technical reports, plain language documentation, infographics, and decision-making tools) to support knowledge sharing and planning for the OLMP
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Create provincial and regional dashboards of operational key performance indicators (KPIs) for the Network and monitors KPIs in order to proactively flag and mitigate potential issues
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Organize material for the development, implementation, and communication of operational processes and procedures to meet Program priorities
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Collate data, performs ad-hoc analyses and communicates key insights, findings, and trends for various stakeholders in OH, and across ministries and agencies
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Deliver high-quality communication, slide decks, reports, briefing notes, dashboards, data visualizations, and briefing notes to ensure key senior stakeholders have access to accurate, relevant, clean, and timely information
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Build automated solutions to create standardized datasets, and increase efficiency for reporting and analytics
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Design, manage, and oversee the maintenance of data tools, templates, business processes, and automated solutions
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Implement business intelligence rules, optimize data processes, and proactively identify and implement ongoing data quality improvement opportunities
Leadership, Relationships, Communication & Collaboration
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Lead the development and implementation of broader data quality initiatives by engaging key stakeholders and facilitating ad-hoc meetings
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Partner with stakeholders to coordinate the optimization, development, and maintenance of a performance management system for laboratory testing
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Collaborate with team members and uses best available information to make decisions that help successfully resolve issues related to performance and analytics
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Provide operational support for issue resolution and service request management; when needed, perform root cause analysis; identify improvements, simplify, and document processes
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Build relationships with Ontario Health stakeholders impacted by laboratory medicine and acts as an inter-agency liaison to respond to performance and analytics related inquiries for the Network
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Maintain subject matter expertise on specific data assets to support the needs of the organization
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Ensure processes, analyses, and reporting products adhere to Ontario Health's data protection and privacy procedures
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Oversee and train junior analysts in completing operational reporting, ad hoc queries and data requests as required and may complete such reports as required
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Perform cross-functional and/or other duties consistent with the job classification, as assigned or requested
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Contributes to organizational efforts and initiatives, as appropriate, to enhance Ontario Health's mission, values, and goals
Education and Experience
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Master’s degree in Business Administration, Operations Management, Health Informatics, Data Analytics or a related health care field
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4 - 8 years of experience working with health care data, quantitative analysis, and reporting applications
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Project Management (PMP) Certification is an asset
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Laboratory-related experience is an asset
Knowledge and Skills
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Project management and/or strong organizational skills to process large volumes of detailed information, deal with ambiguity and manage competing priorities in a fast-paced environment with a learning and growth mindset
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Strong written, verbal, interpersonal, and stakeholder relationship management skills, with the ability to build relationships, engage and develop analysis with/for diverse stakeholders (technical and non-technical, executives, senior program leads, laboratory partners and other external partners including Ministry of Health), solve issues as they arise, and help implement change
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Ability to distill and clearly communicate complex concepts and topics
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Demonstrated ability to be highly motivated, work effectively in both a team setting and in a self-directed manner with minimal supervision
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Dedicated to promoting collaboration, team development, a positive work culture, and organizational health
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Knowledge in health care system performance measurement, health information systems, metrics, reporting, data analysis, and data interpretation
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Strong attention to detail and commitment to high quality work through consistency and accuracy
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Expert analytical skills: conceptual thinker with advanced problem solving and decision-making skills
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Extensive skillset in data analytics, evidence-based decision making, and storytelling through data visualization
Technical Skills
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Have practical experience in data preparation (data cleaning, quality control, and maintenance with attention to accuracy), data analysis, and statistical tool sets including but not limited to SQL (queries, views, stored procedures, functions), SAS, R, Python, with the ability to write queries to perform data analysis and understand data models
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Highly proficient in MS Excel (data manipulation, advanced formulas, and pivot tables). Including ability to manipulate data with spreadsheets, databases, and other analytics software
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Extensive experience with tools such as Access, SSRS/PowerBI Report Builder, SharePoint, and Power Platform (especially Power Automate, PowerBI, and PowerApps)
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Ability to design robust, reusable, and scalable data solutions and to automate ingestion, processing, and delivery of batch data (ETL)
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Knowledge and adherence to privacy and confidentiality policies to protect data and information sources
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Experience working with population and health data (e.g., ON-Marg, PCCF, Postal Code Crosswalk, OLIS, HDCS/DBC)
#LN-AH1
#LI-Hybrid
Employment Type:
Permanent Full time
Contract Length:
N/A
Salary Band:
Band 5
External Application Deadline Date:
December 20, 2024
All applicants must be a resident of Ontario to be considered for roles at Ontario Health.
Ontario Health encourages applications from candidates who are First Nations, Métis, Inuit, and urban Indigenous; Francophone; members of Black and racialized groups; 2SLGBTQIA+ communities; trans and nonbinary individuals; and people living with disabilities.
Ontario Health is an accessible employer and we offer accommodation in all aspects of employment, including the recruitment process. If you require a disability related accommodation in order to participate in the recruitment process, please
contact us
and a member of the team will connect with you within 48 hours.