Advanced Analytics Consultant - Decision Support - Regular Full-Time 2024-7883

Summary of Duties This role reports to the Manager, Decision Support and Advanced Analytics. As the successful candidate, you will work closely with programs across the hospital to analyze, interpret, consult, present and make recommendations based on the best available data to support strategic planning, budgeting, restructuring, program optimization and quality initiatives. You will lead and participate in Advanced Analytics projects across the organization, including building predictive models, building simulations, and promoting the advancement and use of Advanced Analytics at Sunnybrook. You will develop and lead departmental processes and initiatives to advance the goals and mandate of the Decision Support and Advanced Analytics department at Sunnybrook in an exciting, fast-paced environment. Tasks include: Working with Patient Care managers, Program Directors and other senior leaders to highlight key insights and drivers of performance for areas across the hospital. Perform aggregation and presentation of clinical administrative data to inform strategic planning and facilitate evidence-based decision making at the local and system level; report and interpret trending information associated with organizational targets for both internal and external stakeholders Proactively demonstrate the value of advanced analytics by automating manual processes and generating insightful dashboards that leverage predictive modeling. Work with stakeholders to understand the data and systems in place, and identify opportunities to apply advanced analytics techniques (eg. Simulations, data modeling, machine learning, predictive and prescriptive analytics) Apply a broad array of statistical and quantitative methods to evaluate predictive models and quality improvement initiatives Lead the Decision Support team to integrate analytical output in the design and implementation of Business Intelligence solutions that will be disseminated throughout the organization Develop processes to analyze model performance and accuracy Evaluate and implement new technologies to streamline processes and enhance reporting (bots, machine learning, simulation, etc.) Prepare detailed documentation as required Perform corporate and program utilization and predictive analyses including trending, and prediction of clinical volumes and weighted cases   Qualifications/Skills Master’s degree or MBA in Statistics, Epidemiology, Applied Math, Health Information Management or other Health or quantitative related field (PhD an asset). 3 years of experience in a professional setting; Experience in a health care setting is preferred. Specialization in machine learning, AI, and advanced analytics. Advanced knowledge of statistical computer languages (e.g. Python, SQL, R), experience with business intelligence tools (e.g. Microsoft Power BI, Tableau) and simulation software (Simul8) Experience with relational and multi-dimensional data models Exceptional communication, interpersonal and analytical skills Knowledge of key administrative data including DAD, NACRS, OMHRS, CCRS and NRS and associated case mix methodologies. Experience in the use of statistical or financial information in a health care environment Advanced problem-solving, and project management skills Able to work with minimal supervision, manage own time, and prioritize projects Ability to work co-operatively with all levels of hospital staff and physicians