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Senior Analyst, Data request Services

Job in Montréal, Province de Québec, H2B, Canada
Listing for: CGI Njoyn
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
  • Research/Development
    Data Scientist
Job Description & How to Apply Below
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.

At CIHI, we recognize what matters to our employees. Some of the benefits of working at CIHI include

Retirement Planning Program

Generous vacation days for permanent and long‑term contracts

Work‑life balance

Learning and Professional Development Program

Flexible benefits program from your first day on the job for permanent and long‑term contracts

Why is this role important?
The Senior Analyst plays a key role in organizing and leveraging the pan‑Canadian data CIHI holds. This may involve data management, developing and maintaining data and information standards (e.g., methodologies, indicators, and statistics), preparing relevant documentation, providing client support, assessing data quality, producing statistics, fulfilling custom data requests, conducting analysis and contributing to analytical reports. The Senior Analyst participates in department/branch projects and initiatives, as well as other special projects as required.

What you’ll do

Work with the Lead to manage CIHI data, ensuring it is fit for purpose, and to support the production of key deliverables for internal and external dissemination. Key deliverables include relevant documentation, data tables, custom data requests, and topical analytical reports.

Conduct data management and analytical activities including writing and updating statistical code required for the development, computation, analysis, and/or verification of key deliverables. This may include support for the release of data and information through private and public reporting tools, including leading the execution of test strategies / test cases to ensure accuracy of the reported results in adherence with CIHI’s corporate information quality framework.

Maintain detailed knowledge of data, tools, and analytical techniques used to produce standard and ad‑hoc outputs.

Conduct environmental scans and literature reviews to support the development of reports, statistics, and indicators.

Contribute to the development of materials (e.g., analytical reports, methodology or technical notes, presentations, educational, media, etc.) for dissemination of findings and knowledge translation, and review written products for analytic accuracy and quality.

Provide professional and timely client support to respond to internal and external client queries.

Maintain current knowledge of CIHI’s data holdings, trends in health services research and health policy, and stakeholder information needs to support current work and contribute to the development of new analytic proposals.

What you’ll bring to the table

Undergraduate degree in Health Information, Statistics, Data Science, Epidemiology, Health Sciences, Computer Science, Economics, Mathematics or a related field.

3–5 years experience working with relational databases / large datasets, including manipulating, maintaining, and preparing data and presenting analyses and reports for different audiences.

Experience with CIHI or other health‑related data sources.

Advanced proficiency with data manipulation and statistical software, such as Python, R, or equivalent tools.

Proficiency in use of Microsoft Office applications.

Proven experience working with large relational datasets and performing rigorous data quality checks.

Strong written and verbal communication skills—able to synthesize complex analyses and present clear, actionable findings.

Clear data storytelling and…
Position Requirements
10+ Years work experience
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