Sustainability Student

Responsibilities

• Learn and assist with sustainability projects and initiatives.


• Help prepare reports, presentations, and visual summaries to share sustainability performance.


• Assists in collecting, organizing, and analyzing sustainability metrics like energy use, recycling, and greenhouse gas (GHG) emissions data for corporate and project activities.


• Collect, clean, and validate sustainability and GHG data, maintain datasets, analyze, and create dashboards and reports to communicate insights.


• Supports the development of tools and processes to streamline data collection and reporting, including a corporate GHG emissions database.


• Assist in analyzing emissions, energy, fuel, and sustainability performance trends, including year‑over‑year comparisons, intensity metrics, and variance analysis across buildings, projects, or districts


• Builds on existing research of pathways to net-zero, including: low-carbon procurement, stakeholder engagement, Climate-Related Risk Reporting (TCFD), carbon offset, new products/technology. Presents research and findings.


• Supports the development of corporate policies and procedures around emissions reduction.


• Research, tracks and updates registrar on sustainability regulatory requirements.


• Assists with Sustainability Report content, and preparation for communication events.


• Research and reports on Sustainability trends and industry best practices (GRI, ISSB, CDP, SBTi).


• Research peer ESG disclosures to provide insights and recommendations on ESG performance metrics.


• Supports internal community engagement (Viva Engage, CoP).


• Other related responsibilities as required.

What you will bring to the role:

• Familiarity with GHG management, ESG frameworks (UN SDGs, GRI, ISSB), and climate risk modelling is preferred.


• Demonstrated interest or coursework in data analysis, data management, sustainability analytics, environmental data, or related quantitative fields.


• Experience or strong aptitude in searching for, organizing, and conditioning datasets, including working with large or multi‑source spreadsheets.


• Qualitative and quantitative analytical skills.


• Strong communication and visualization skills.


• Application of various computer software programs will be required, including word processing, and spreadsheet applications.


• Methodical problem solving and attention to detail.


• Familiarity with data visualization and analytics tools such as Power BI (or similar platforms), including building charts, tables, and dashboard elements.


• Proficiency with Microsoft Excel, including formulas, data cleaning techniques, pivot tables, and basic data validation practices.