Advisor, Health Analytics

Job Description:
**Advisor, Health Analytics**

**Health Services - Health Strategy, Planning and Partnerships**

**Status**:Contract Full Time; Duration: 18 Months

**Salary Range**:$100,172 - $125,213 per annum, plus comprehensive benefits

**Work Mode: Hybrid, **_see below for more details about this work mode._**

**Location: 7120 Hurontario St, Mississauga, ON**

**Hours of work: 35 hours per week**

**Who we are**: In collaboration with our partners, we provide a system perspective and specialized supports to achieve Regional and Health Services priorities and health program outcomes.

**What you will do in this role**:

- Lead highly complex and specialized statistical analysis and problem-solving exercises utilizing data from widely varied programs and services
- Establish data sharing agreements, manage and coordinate access to specialized health care data sets via other Region of Peel Health Services areas, external government and non-governmental partners, and develop protocols and procedures to maintain health data set access requirements and credentials
- Design and direct highly complex and specialized statistical analysis and problem-solving utilizing data from widely varied programs and services to help identify and optimize health system linkages and achieve program objectives
- Provide expert level direction and guidance on functional data management decision making and support in areas such as data access/security, PHIPA compliance, data structure, data cleansing, collaboration, and data visualization (conventional, web-based, and interactive), performance measurement, statistical analysis and data integration
- Design and lead data mining exercises to discover trends and patterns and design algorithms to validate existing assumptions and processes.
- Design and validate sophisticated data visualization, advanced web-based graphics and interactive tools to make large datasets coherent in order to better understand patterns and explain complex issues and results to decision-makers, partners and the general public
- Responsible and accountable for establishing, maintaining, optimizing and maximizing return on investment from specialized data analysis tools and purchased/subscription-based data sets
- Develop and influence internal relationships with client groups to ensure Health Services analytics solutions align with the Corporate BI and Information Management Strategies
- Provide expert guidance and advice in the design and delivery of assigned projects including developing and implementing highly technical and complex quantitative/analytical solutions and algorithms, determining project priorities/scope and accountability for quality and accuracy of outputs
- Design and direct the development of policies, standards, procedures, and best practices with Health Services related to the following areas: Health information privacy, data integration, linkage of health information data sets, data warehousing, data quality, and data utilization
- Monitor emerging industry trends and adjust governance, tools, advice and recommendations accordingly for all program and service responsibilities and champion change at the department level

**What the role requires**:

- Completed degree in Health Informatics, Statistics, Mathematics, Data Science, or related field
- 5 - 8 years of working experience related to Health Informatics, Biostatistics, Statistics, Mathematics, Actuarial Science, Computational Geometry, Economics, Engineering or Data Science- Combination of education and experience may be considered
- Extensive experience with statistical software packages such as SPSS, SAS, STATA, SYSTAT, R and text analytics tools- Expertise and experience assembling a blend of classical and advanced components like artificial intelligence, pattern recognition, databases, traditional statistics and graphics tools to identify relationships, correlations, trends and patterns found within structured and unstructured data sets

**Skills/Abilities**:

- Advanced skills in structural equation modeling, decision trees, cluster analysis, text analytics, and data visualization
- Expert knowledge of BI concepts and data mining techniques e.g. associations discovery, sequential pattern discovery, classification, clustering and forecasting
- Experience with data visualization tools including open source and commercial packages and libraries, as well as the ability to create custom visualizations using combinations of linked toolsProficient in use of MS office tools, in particular Excel and Access Advanced knowledge and experience with creation of databases
- Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias

**Nice to have**:

- Master's Degree in related field
- Following professional designations: - SAS Certifications - Certified Analytics Professional - Certified Data Management Professional (CDMP) - Certified Busi