Research and Predictive Insights Analyst

** Job Posting Title
** Research and Predictive Insights Analyst
** Job Category
** Operational Support
** Language Requirements
** Bilingual Preferred / Bilingue de préférence
** Flexible Work Agreement Type
**** Posting End Date
**** Job Grade
** PIPSC-3
** Pay Range**$111,451 - $140,007
** Job Summary
** As a Research and Predictive Insights Analyst, you will influence decisions and help shape the future of NAV CANADA. Your work will inform forecasting, guide Air Traffic Management (ATM) performance measurement and support strategic initiatives that impact millions of passengers and the aviation industry. This role is essential in transforming data into insights that drive service delivery, improved performance, and long term success for one of the world’s largest air navigation service providers.
You will be part of a diverse team supporting NAV CANADA’s core business functions through the development of air traffic, revenue, and performance forecasting, as well as advanced analytics which includes development of ATM performance based decision support tools. You will also research and monitor industry trends, interpret complex information, and translate data from multiple internal and external sources into actionable insights
** Job 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:

*** 3-5 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 Type Script 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,…