VHA Home HealthCare (VHA) is one of the largest not-for-profit home care providers in Ontario. Our team is made up of close to 3,000 caring and committed professionals who love what they do. Our providers tell us: “Home care is where I can truly make a difference. There is such a sense of accomplishment from helping people live independently at home.” Our teams work together to provide high quality, client-centred care to those who need it most in their homes, schools, retirement homes and other community settings. Many of our team members manage their own schedules in the community and they say, “The freedom and flexibility can’t be beat.” Providers form meaningful bonds with the clients and families they serve over time and are supported by a diverse regional team and beneficial home office programs. Team members tell us “I love the inclusive culture. I feel welcome and at home.”
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QUALIFICATIONS:

• A master’s degree in data science, statistics, computer science, health economics, health services research, informatics, or a related discipline is required. A bachelor’s degree combined with at least five years of relevant work experience may also be considered.
• Proven experience as a decision support specialist, data engineer, or data scientist, preferably in the healthcare industry working with, and managing, large datasets.
• Proficiency in programming languages including Python and R.
• Experience with Power BI and other data visualization tools, with a strong ability to present data stories to non-technical stakeholders.
• Strong analytical and problem-solving skills, with a focus on decision support for operations.
• Thorough knowledge of statistical methods with the flexibility to select and apply the appropriate techniques for the relevant questions.
• Excellent communication and teamwork abilities, including the ability to translate data into actionable strategies.
• Knowledge of healthcare data regulations and standards (e.g., PHIPA).

PREFERRED SKILLS:

• Experience with Machine Learning, Large Language Models and other AI techniques.
• Experience working with, and managing, large datasets
• Familiarity with Microsoft Azure tools including Azure AI Services
• Familiarity with Client Record Management (CRM) Systems.
• Understanding of homecare operations and challenges.
• Proven experience in using data for operational decision support and improvement.

RESPONSIBILITIES:

• Collaborate with research, operational and clinical leadership teams to understand their data needs and workflows and provide actionable insights that drive informed decision-making across the organization.
• Work within the data analytics team to review and refine reports and dashboards, ensuring outputs are accurate and reliable.
• Leverage data storytelling techniques to communicate complex insights in a clear, compelling way that supports strategic and operational decisions.
• Collect, process, and analyze large datasets to identify trends and insights that can improve patient care, operational efficiency, and decision-making.
• Develop predictive models to forecast patient needs, improve clinical work, optimize resource allocation, and support operational decisions.
• Support the development and implementation of data-driven solutions to enhance client outcomes, satisfaction, and operational performance.
• Ensure data integrity and security in compliance with healthcare regulations.
• Stay up to date with the latest data analysis techniques, tools, and decision support methodologies.