Statistical Analyst

Medical Council Of Canada•Ottawa, ON

4d•CA$86,000 - CA$97,000•Hybrid

About The Position

The Medical Council of Canada (MCC) is seeking a Statistical Analyst to join their dynamic team. This role supports MCC’s operational, research, and project work through advanced statistical analysis and data-driven insights. The analyst will work closely with a team of analysts and psychometricians, contributing to the analysis of exam and related data, ensuring quality, accuracy, and reliability. The position also involves supporting the maintenance and enhancement of scoring systems, contributing to research initiatives, and identifying opportunities for improvement in MCC’s assessment programs. The MCC has been recognized as a National Capital Region Top Employer for ten consecutive years and fosters a collaborative and inclusive work environment that promotes professional development and work-life balance.

Requirements

3-5 years’ experience in data analysis, reporting, and utilizing advanced statistical analytics techniques.
Demonstrated experience with statistical inference and statistical modeling (e.g., regression models, clustering, factor analysis) using Python or SAS.
Demonstrated experience with interpreting data and analyzing results using statistical techniques, developing processes of data cleaning and preparation, and assessing data quality.
Experience with developing and maintaining databases.
Experience with automating reports and other forms of data visualization.
Experience with documenting code and procedures.
Proficiency in Python programming (data extraction, data wrangling, analysis, visualization).
Proficiency in SAS programming (standard SAS procedures including PROC SQL, PROC Report, PROC SGPLOT and SAS Macros) to conduct analysis and generate customized reports.
Proficiency in developing complex and customized SQL queries for relational databases.
Knowledge of research and measurement principles and procedures.
High attention-to-detail and excellent problem-solving skills.
Strong verbal and written communication skills.
Ability to manage multiple changing priorities under pressure and while working to deadlines.
Ability to work independently and within a team.

Nice To Haves

Experience with machine learning algorithms is an asset.
Experience with business intelligence tools (e.g., Tableau, Microsoft Power BI) is an asset.
Experience with collaborating on writing research reports and publications is an asset.
Oral and written skills in French considered an asset.

Responsibilities

Conduct routine and ad hoc statistical analyses using SAS (and Python/SQL as needed) to support exam processing, scoring, quality assurance, and research activities.
Apply statistical and psychometric methods to analyze data, identify trends or irregularities, investigate root causes, and recommend improvements.
Translate complex data into clear summaries, reports, tables, and visualizations, and communicate insights to psychometricians and stakeholders.
Apply statistical models to address research questions and support evidence-based decision-making.
Develop, maintain, and enhance scoring systems and analytical tools, with a strong focus on SAS programming, alongside Python and SQL.
Design, build, and manage datasets and databases to support analysis and reporting needs.
Automate reporting processes (e.g., technical and executive reports), improving efficiency and consistency through SAS-based solutions.
Lead and support testing approaches (e.g., simulations, test scenarios) to validate data, models, and scoring systems.
Translate business needs into technical specifications and data-driven solutions.
Develop and maintain clear documentation for SAS code, analytical processes, and tools.
Collaborate with psychometricians and team members to support research, projects, and presentations to internal and external stakeholders.