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    Senior Analyst, Data Science - Toronto, ON, Canada - CGI Njoyn

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    Description
    Senior Analyst, Data Integration, Methods and Tools
    Senior Analyst, Data Integration, Methods and Tools

    We are an organization comprised of industry thought leaders who are passionate about health data and want to make a difference in the health care field.

    We are an independent, not-for-profit organization and together with our partners we provide essential information on Canada's health systems, enabling decisions that lead to healthier Canadians.

    As a valued member of the CIHI team, you and your work will have a pivotal role in the evolution of Canada's health care systems.

    CIHI is recognized as an exceptional place to work that embraces diversity, respect, integrity, collaboration and innovation.

    Learn about our Equity, Diversity and Inclusion Strategy and the work being done to create a more inclusive and welcoming organization by focusing on how we learn, govern and practise.

    Retirement Planning Program
    Generous vacation days for permanent and long-term contracts
    Flexible benefits program from your first day on the job for permanent and long-term contracts

    The Senior Analyst is responsible for the development, and maintenance of data models and underlying datasets to forecast needs for physicians in Canada.

    Major activities include design and optimization of datasets, data analysis to derive insights, trends and forecasts, collaboration with cross-functional teams, development and maintenance of accurate documentation, effective communication to both technical and non-technical stakeholders, keeping abreast of industry trends and leveraging opportunities to adapt models and approaches based on the evolving nature of the health workforce labour market and organizational needs.

    Develops and maintains comprehensive knowledge of the landscape of HHR in Canada's health care system including priorities, policies, and research initiatives.

    Develops and maintains data models to represent the structure and relationships with a labor market dataset.
    Designs and optimizes datasets to efficiently store and retrieve data needed for modelling and relevant labour market data.
    Conducts thorough analysis using statistical methods and machine learning to derive insights, trends, and forecasts from labour market data.
    Works closely with cross functional teams to understand data needs and provide relevant solutions.
    Documents data models, assumptions, and methodologies to ensure transparency and reproducibility in analysis and forecasting.
    Mentors, supports, and provides training to other team members.
    Undergraduate degree in economics, data science, statistics or a related field.


    • 3 to 5 years' experience handling large datasets, conducting data analyses, statistical modeling and contributing to the dissemination of results and/or tools.
    • Knowledge of the Canadian health system and of health human resources dynamics, analysis, and planning.
    • Experience with predictive analytics, time series analyses and econometric modelling.
    • Experience in programming languages such as Python and R. Experience using forecasting tools is an asset.
    • Strong communication skills with demonstrated experience in interpreting and writing methodological notes, analysis, and synthesizing findings.
    • Proficiency in use of Microsoft Office applications.
    • Ability to conceptualize key analytical questions and develop data analysis plans for yourself and the team.
    • Fluency in both official languages is an asset.

    To find out more about this role and other exciting opportunities visit our website at and check out our 'Careers' section.

    Please make sure your profile has an updated email address that is checked regularly, including the junk/spam mail folder, as we send time sensitive emails (i.e. testing and interview bookings).
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