Unravelling Online Job Postings: Decipher Canada’s Labour Market
April 28, 2025 | 12:00-1:00PM EDT
Online
Overview of the Webinar:
Online Job Postings (OJPs) are more than just a tool for connecting employers and jobseekers—they also offer a rich data source that reveals critical labour market trends and skill requirements. This webinar delves into 2024 job postings data to uncover complex relationships between skills and occupations. Focusing on the most in-demand skills, the webinar will explore how OJPs can be transformed into actionable insights. This webinar will highlight LMIC’s 2025 research, showcasing an interactive dashboard that tracks job market trends across Canada and demonstrating how a novel approach can uncover relationships between skills and roles. Participants will gain a deeper understanding of how OJP data can inform workforce planning, career development and policy decisions in today’s dynamic labour market. Participants will leave this session equipped to decode real-time skill demands and support informed decision-making in their practice.Why Career Practitioners Should Attend:
CDPs play an important role in helping clients navigate a rapidly changing labour market. This webinar will support participants in understanding how OJP data can reveal in-demand skills, uncover relationships between competencies, provide insights into the complex relationships between skills and occupations – and highlight the trends shaping today’s job market. Join us as we explore how these insights can reshape the way CDPs guide clients and inform workforce strategies.Key Learning Takeaways:
- Analyze data from online job postings (OJPs) to identify in-demand skills across sectors
- Explore the interdependencies between various competencies in shaping labour market trends
- Leverage real-time labour market data to guide workforce planning and career development
- Learn how to reframe skill demand based on data-driven insights
- Practical strategies for aligning client skills with evolving employer needs
- Tools to incorporate data-driven decision making into career planning
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