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Research and Predictive Insights Analyst

Job in Ottawa, Ontario, Canada
Listing for: NAV CANADA
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Data Engineer
Job Description & How to Apply Below

Description

What NAV CANADA offers you:

  • Challenging, team-oriented work environment

  • Competitive compensation and flexible benefits

  • Defined benefit pension plan

  • Opportunities for growth and development

  • Flexible work arrangements

  • Diverse and inclusive workforce

  • Key Accountabilities:

  • Represent NAV CANADA as an advanced analytics and predictive modeling subject matter expert.

  • Promote diversity of thought across the industry through research and collaboration.

  • Research economic, environmental, and global aviation trends within Canada and internationally.

  • Collaborate across NAV CANADA and the aviation industry on strategy development, air traffic performance measurement, and benchmarking.

  • Produce analytical reports and information with data obtained from internal and external sources and provide actionable insights.

  • Lead collaborative activities on forecasting and analytics projects with internal and external stakeholders.

  • Contribute to the development, testing, and refinement of statistical and machine learning models used in aviation forecasting and scenario analysis.

  • Prepare, clean, and transform large datasets.

  • Develop operational decision support tools.

  • Analyze Air Traffic Management performance trends and interpret results to support service delivery.

  • Support the development and continuous improvement of air traffic and revenue forecasting methodologies, analysis, and reporting.

  • Job Requirements

    Education:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics or other relevant education.

  • Master’s degree or PhD in a relevant field considered an asset.

  • Experience:

  • 5-8 years of work experience in data analysis, data science, forecasting and research; or an equivalent combination of education and experience.

  • Experience in operational modeling, including designing and validating models that simulate system performance, assess operational scenarios, and support planning, forecasting, and service‑delivery.

  • Experience in quantitative and qualitative research and studies analyzing and synthesizing results of findings.

  • Experience building interactive data applications and dashboards using tools such as Dash, Flask, Plotly, D3.js, or R Markdown.

  • Front-end development experience with React and TypeScript is desirable.

  • Experience with reporting and presentation tools such as PowerPoint, Power BI, and Excel.

  • Experience building collaborative networks and working relationships with internal and external stakeholders.

  • Experience with development of reproducible analytical workflows.

  • Experience building scalable analytical tools and decision support applications.

  • Experience communicating the outcomes of complex analyses to senior management via reports and presentations.

  • Knowledge:

  • Knowledge of quantitative, qualitative and decision analysis and forecasting methodologies.

  • Knowledge of data collection, manipulation, and validation techniques.

  • Excellent programming skills in Python and SQL, including experience with data manipulation, analysis, and performance optimization.

  • Working knowledge of R for statistical analysis and reporting.

  • Solid software engineering practices, including Git version control, code reviews, modular design, testing, and documentation.

  • Knowledge of forecasting models (e.g., ARIMA, Prophet, Exponential Smoothing).

  • Knowledge of data pipelines and model deployment.

  • Knowledge of or willingness to learn about the aviation industry and Canada’s Air Navigation System.

  • Abilities:

  • Ability to design, develop, validate and communicate results of advanced predictive models using statistical and analytical techniques.

  • Ability to understand the implications of new data and information for both current and future problem-solving and decision-making.

  • Ability to identify complex problems, research and develop options and implement solutions within a broad range of subject areas.

  • Ability to work with multiple data sets using various tooling, conduct analyses, and generate actionable insights.

  • Ability to quantify uncertainty and assess model performance.

  • Ability to translate vague business challenges and requirements into structured analytical solutions.

  • Ability to communicate effectively verbally, visually, and in writing.

  • Ability…

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