Digital Health Data Analyst

Company Description

Spectrum Health Care is hiring a Digital Health Data Analyst to join our team in Toronto. In this role, you will take the lead on digital health initiatives, working with stakeholders to develop standards and processes for integration projects and analytics involving big data modelling in healthcare data systems. 

Our people are the foundation of our business. By joining Spectrum Health Care, you become part of one of Canada’s Best Managed Companies and an essential member of a team of highly skilled healthcare professionals. 

Spectrum Health Care’s mission is to rethink home care, providing our clients and their families with the products and services they need when care is required, delivered by our most qualified and compassionate staff.  

Job Description

• Design and implement the necessary infrastructure for optimal extraction, transformation, and data loading from a variety of data sources using SQL, NoSQL, SAAS APIs, either on-premises or cloud-based, including 'big data' technologies.
• Lead digital initiatives, project planning and work with stakeholders to define business requirements and translate them into technical specifications.
• Prepare analytical datasets (ADS) to support our data science and modeling/AI team in building and deploying statistical models (for example, predictive models).
• Develop standards and processes for integration projects and initiatives.
• Deliver big data and batch/real-time analytical solutions that leverage emerging technologies.
• Ensure that all data solutions are consistent and all automated processes preserve data by managing the alignment of data availability and integration processes.

Qualifications

• Bachelor’s Degree (BA/BS) in Business, Statistics, Analytics, Computer Science or a related major
• 2-4 years of experience in related analytical, business systems or data engineering fields
• Expert SQL proficiency with proven competencies in designing well-architected data models is a benefit
• Understanding of high-performance data science algorithms
• Experience working with large datasets, possessing strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
• Understanding and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, and developing actionable recommendations for business units

Additional Information