Data Strategist and Decision Support Lead

Job title:

Data Strategist and Decision Support Lead

Company

VHA Home HealthCare

Job description

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.”Pay RangeCommensurate with Experience.Reporting to Director, Digital Operations; Data Strategist leverages key data assets to enhance operational efficiency, improve patient care, and support strategic decision-making. The role involves collecting, processing, and analyzing large datasets to identify trends and insights, applying statistical methods and machine learning algorithms to build predictive models, and effectively communicating complex technical concepts to non-technical stakeholders via data storytelling techniques. This role will collaborate with cross-functional teams to Identify business problems, formulate hypotheses, and design experiments to test and validate solutions.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.

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.

What makes VHA’s compensation unique?Benefits and pension plan for permanent eligible employeesCompensation for education and professional developmentVHA is a leading learning organization so we can provide you with comprehensive orientation and training at the start and throughout your careerMentorship and peer supportCareer development opportunitiesEmployee and family assistance programWellness resourcesPerks & discountsStaff & service provider eventsAccommodation and VHA’s commitment to DEIAt VHA Home HealthCare (VHA), we passionately strive to uphold our commitments to being an Equal Opportunity Employer. We champion inclusion and diversity in all parts of our organization and are strong believers that a diverse workforce is key to the ongoing and future success of VHA. We aim to review all applicants with fair and unbiased recruitment practices where opportunities are presented based on merits, skills, and experience. VHA is committed to providing reasonable accommodation and our services are accessible and sensitive to the needs of diverse groups. If you require any accommodation, please let us know in advance as we are happy to comply.How to Apply?Our online application should take about 5 to 10 minutes to complete.VHA is accredited with Exemplary Standing by Accreditation Canada; an RNAO Best Practice Spotlight Organization designate; and a founding member agency of United Way Greater Toronto.Thank you to everyone who applies. We will review applications as they are received. We’ll only be contacting those selected for further discussion.In every role and at every level, we lead with purpose, build bonds that matter, and we’re passionate about providing spectacular care.

Expected salary

Location

Toronto, ON

Job date

Fri, 17 Jan 2025 05:29:32 GMT

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