Reporting to the Senior Manager, Data Analysis and Visualization, the Statistical Officer provides non-partisan statistical services, data analysis and data visualization to support the work of Parliament.

The incumbent performs the following duties:

- responds to statistical and data-related requests from parliamentarians and their staff;
- assists other Library employees in supporting the work of parliamentary committees;
- contributes to the development of research publications
- develops, maintains and updates data-related products and services.
- provides statistical, data analysis and data visualization support across the Library of Parliament.

Qualifications

Education:

- A bachelor's degree in statistics, economics, data science, or a related field, OR
- An equivalent combination of education and relevant experience.

Experience

- Experience working with large and complex datasets from multiple sources and covering different time periods.
- Experience using advanced Microsoft Excel features and functions.
- Experience using statistical software or programming languages, (e.g., R, Python), to conduct quantitative analysis and develop data visualizations.

Knowledge

- Knowledge of statistical and quantitative analysis methods,



data analysis, and data visualization.
- Knowledge of a wide range of tools and technologies relevant to statistical analysis, data analysis, and data visualization.
- Knowledge of authoritative Canadian and international data sources, including official statistical sources.
- Knowledge of current and emerging Canadian public policy issues and their potential implications for the work of Parliament.
- Client Focus
- Exemplifying Integrity
- Attention to Detail
- Research
- Teamwork
- Analytical Thinking
- Communication
- Organizational Awareness

Asset Criteria

- Experience building, cleaning, transforming and updating datasets for interactive dashboards, visualizations and maps.
- Experience using Statistics Canada's Social Policy Simulation Database and Model (SPSD/M).
- Experience applying Gender-Based Analysis Plus (GBA Plus) and analyzing disaggregated data to identify differences, trends, and disparities across population groups.
- Experience developing high-quality data visualizations, including charts and tables, to effectively communicate analytical findings.

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📌 Statistical Officer (Ottawa)
🏢 Library of Parliament / Bibliothèque du Parlement
📍 Ottawa