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Senior Analyst, Clinical Analytics
3 months ago
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
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 will be part of the Quality Measurement and Evaluation Team, working in partnership with the Integrated Diagnostics and Genetics Program, Cancer Clinical Programs, the Provincial Drug Reimbursement Program, and the Ontario Palliative Care Network. Through this partnership, the Senior Analyst will produce high-quality, actionable analytics for quality improvement, performance management, and health services planning. Using data, the Senior Analyst provides evidence-based information used to inform decision-making to improve patient outcomes, provider experience, and value and equity in the health care system. The Senior Analyst will work extensively with different healthcare administrative databases and survey data and perform statistical analysis to answer important health care questions to improve health outcomes across Ontario. The role requires excellent knowledge of data manipulation and statistical analysis.
The primary focus of this role is report development and evaluation planning for symptom management pilot projects testing approaches to the provision of timely symptom management for patients with cancer.
Here is what you will be doing:
Analysis/Analytics Support
Defines the analytics scope, expected deliverables, and workplan in coordination with the Manager or Team Lead
Develops analytics plans and methodology protocols, using and critically appraising findings from literature reviews, and ensuring local and enterprise level methodology standards are incorporated
Leads and independently develops measurement plans and researches and conducts a broad range of statistical analyses that have an impact on key initiatives and/or multiple stakeholders, including current state, quality improvement, evaluation, and indicator development
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
Leads and collaborates with other team members in developing new analytics tools, methods and processes
Develops and implements data quality assurance procedures and lead Quality Assurance and User Acceptance Testing of data systems associated with the CIQP program
Actively identifies and communicates relevant and meaningful findings to inform data-driven actions and decisions (actionable insights) regarding quality improvement, funding policy, performance management, and capacity planning
Presents analytics products, including proper handling and delivery of information of a sensitive nature, to various stakeholders
Supports stakeholders throughout the analytics product lifecycle, including monitoring and evaluating the analytics products to ensure that they continually meet their purpose and program objectives, and making refinements based on feedback
Develops new operational reports, oversees Specialists' production of existing operational reports, and proactively identifies improvement and efficiency opportunities in the production process and the products
Selects appropriate data sources for analysis, identifies data limitations and data issues, works with large databases with person-level data, creates data linkages across multiple data sources, and works with other functional teams, such as Enterprise Data & Analytics, Legal and Privacy Office and Digital Excellence in Health, to collect new data
Applies appropriate methodologies for risk adjustment, modeling, and statistical testing
Applies quality assurance and data validation strategies to ensure the accuracy, validity, and reliability of derived variables, concepts, and analysis results
Contributes to publications and grant proposals
Collaborates with subject matter experts, such as clinical leadership and Decision Scientists, on complex analyses
Leverages Business Intelligence (BI) tools to automate reporting and works with the BI team to enhance delivery of information to key stakeholders
Leads and contributes to knowledge creation and knowledge transfer and exchange activities within the team and in the enterprise data & analytics community, such as metadata management, software acquisition and testing, standardization of analytic concepts and methodology
Participates in grassroots health analytics innovation
Project/Program/Operational Support
Manages multiple projects concurrently within timelines, including identifying and effectively communicating with relevant stakeholders, managing project work plans, and driving results in a collaborative setting
Monitors and adjusts work plans to meet work priorities and objectives, escalates risks and issues to the Manager or Team Lead, and proposes recommendations to address the issues identified
Supports the coordination of clinical and operational advisory groups/committees as required
Provides guidance to and mentors junior team members
Performs cross-functional tasks and/or other analytics duties as required
Stakeholder Engagement
Acts as the Clinical Analytics primary contact and subject matter expert in methodology and related data assets to the relevant CIQP Programs; provides advice and recommendations to the stakeholders within Ontario Health and external agencies
Engages various stakeholders (including clinicians, administrators, and scientists) to gather analysis requirements, explore analysis options, communicate results, support interpretation and recommendations development, and address questions
Leads working committees and/or consultation sessions with key stakeholders focused on the development, use, and maintenance of data and analytics best practices
Partners closely with internal/external colleagues to deliver, communicate complex concepts and support change management to ensure executed analyses meet defined requirements
Here is what you will need to be successful:
Education and Experience
Required: Undergraduate degree in epidemiology, biostatistics, health services research, health sciences, industrial engineering, statistics or related discipline, or equivalent experience. Master is preferred
Required: Minimum 5 years of experience applying methods from epidemiology, biostatistics, statistics, operations research and/or machine learning is required; related experience in a healthcare environment is preferred
Expertise and experience conducting analysis using SAS, R, or SQL is required; experience using Excel VBA and Python considered an asset
Experience working with a multi-disciplinary audience, including the ability to gather analysis requirements, present technical information to a variety of audiences, and facilitate decision-making
Experience working with clinical experts, health care administrators and people with lived experience, including ability to facilitate meetings with stakeholders and build consensus
Experience linking and working with large data sets considered an asset
Experience using health administrative and clinical data such as CIHI DAD, NACRS, OHIP Billing, and Statistics Canada census considered an asset
Experience with information design considered an asset
Knowledge and Skills
Advanced knowledge of statistical, visualization and reporting tools including SAS, Microsoft Excel, and/or R; ability to conduct analysis of large datasets and create products to share results and support decision-making (e.g. data reports, infographics, decision-making tools, manuscripts)
Proficiency with data manipulation languages, including SAS, SQL, with strong ability to manipulate data in spreadsheets and large databases
Excellent knowledge of database management principles
Strong analytic capability with the ability to identify key questions to stakeholders and formulate well-articulated analytics plans and methodology protocols
Strong critical thinking and problem-solving skills with superior attention to detail
Ability to conduct independent investigation and analysis required to develop a solution that includes consideration of the contextual causes and effects of the issue
Expertise in statistical modelling, advanced analytics, and/or information design
Familiarity with quality assurance strategies
Knowledge of mixed and qualitative methods is an asset
Knowledge of Natural Language Processing and Machine Learning is an asset
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