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About the role
- Health Information Analyst providing statistical expertise related to population health data management and analysis within the City of Toronto.
Responsibilities
- Designs and maintains new health information systems and databases and extracts data from existing databases to create relevant datasets for subsequent analyses
- Develops documentation and procedures for databases and health information systems
- Coordinates the maintenance of existing health information databases including updating datasets and deriving new variables, in consultation with the Supervisor, epidemiologists and other users
- Adheres to Divisional and other statistical standards for data analysis, mapping and reporting, and complies with the conditions set out in all data licences
- Retrieves, organizes, analyzes, interprets and reports data using appropriate methods to support timely surveillance and reporting on health status and diseases, in consultation with managers, epidemiologists, and other users
- Writes and executes computer programs for data extraction, data set creation and analysis using spreadsheets and statistical software packages (e.g., Excel, Access, SAS, STATA, R)
- Develops, uses, and archives standard syntax files for routine analyses
- Prepares and disseminates health status information in various forms including reports, charts, graphs, maps and community health profiles based on analysis of existing or generated data for internal and external users
- Applies proven analytical approaches to identify errors or limitations in data, and implements processes and to improve data validity
- Defines data needs and selects methods and procedures for collecting and analyzing health data for managers, staff and others
- Orients staff to available databases and the use of population health information in program development, monitoring and evaluation
- Responds to enquiries regarding health status data and related information systems
- Liaises with City departments and external agencies to obtain and/or share health related data
- Provides in-service training to divisional staff in health information related to health status and diseases, socio-demographics and related computer programs
- Designs data collection and survey instruments including coding formats, questionnaire design and data entry and storage
- Provides on-the-job instruction to staff concerning the input, or preparation for input, of data
- Assists with epidemiological studies and surveys related to disease surveillance and population health assessment. Provides support and consultation to divisional programs and services
- Represents the division on internal and external committees dealing with population health assessment, disease data and health status information.
Requirements
- University degree in Health Sciences, Biostatistics, or a related discipline, i.e. Biological Sciences, Mathematics
- Considerable experience using statistical software to conduct analyses of large health data sets, including SAS, STATA, R or equivalent.
- Considerable experience applying population health statistical methods and in the collection, analysis, communication, and interpretation of disease data OR population health assessment
- Experience using data visualization tools e.g. Tableau
- Strong customer service, communication, and consulting skills
- Familiarity with current public health issues, epidemiological concepts, trend analysis and forecasting techniques
- Ability to communicate effectively, to prepare written reports, and to display statistical data in appropriate and understandable formats
- Ability to work effectively with staff at all levels of the organization
- Knowledge of database design and development
- Knowledge of Word, Excel, PowerPoint, Access and other software packages relevant to the analysis and presentation of population health
- Excellent organizational skills with the ability to meet changing priorities
- Ability to work in a high-pressure environment, take initiative and respond to competing priorities
- Ability to work flexible hours (i.e. occasional evenings and weekends) when necessary.
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