About the role
Description Role Summary We are seeking a Senior Data Analyst, Energy to lead the collection, processing, allocation, and reporting of utility and energy data across our national industrial real estate portfolio. This role plays a key part in ensuring accurate, timely, and actionable insights into building performance and customer energy use.
You will work closely with the Energy & Sustainability team and cross-functional stakeholders to manage large datasets from diverse sources, perform utility allocations using defined methodologies, and support both regulatory and voluntary reporting. You will also help drive financial value by coordinating data required for energy incentive applications.
Core Responsibilities Energy Data Management
- Collect and organize energy and utility data from sources such as utility bills, submeters, and internal surveys
- Clean, transform and validate data to ensure completeness, consistency, and accuracy
- Apply methodologies to estimate usage for missing data, including weather normalization and occupancy adjustments
- Perform allocations of shared utility usage to customers based on submeters, square footage, occupancy, and heating type
- Collaborate with internal teams and vendors to submit incentive and rebate documentation and track application status
Analytics & Reporting
- Design, develop and maintain interactive dashboards, reports, and visualizations using Power Bi and Microsoft Fabric. Conduct in-depth analysis to generate actionable insights on energy performance
- Support internal and external reporting, including ENERGY STAR, GRESB, and investor disclosures
- Prepare recurring reports summarizing energy use by customer, building, and portfolio, clearly flagging estimated values
Cross-Functional Collaboration
- Work with property management and operations teams to validate data and address discrepancies
- Collaborate with data engineers and analysts to acquire, clean, and structure data
- Identify data gaps and recommend improvements to data collection and management processes
Required Skills And Experience
- Degree or diploma in engineering, computer science, data analytics, or a related field
- 4+ years of experience working with large datasets, ideally in energy, utilities, or real estate
- Proficiency in Power BI, Excel, and SQL; experience with PySpark, R or Python is an asset
- Strong analytical skills, attention to detail, and ability to manage ambiguity
- Experience with energy benchmarking tools (e.g., ENERGY STAR Portfolio Manager) is recommended
- Excellent communication, coordination, and stakeholder engagement skills
- Proven ability to manage multiple data sources and deliver high-quality outputs under tight deadlines
Our people are what makes us different. At Pure Industrial we are committed to workplace diversity and inclusion within our organization; therefore, we encourage all qualified persons from all backgrounds to apply. Accommodations are available, upon request, to all applicants with disabilities throughout our hiring process. Successful applicants will also be subject to a background check.
About Pure Industrial
Pure Industrial is one of Canada’s leading providers of industrial real estate, aiming to transform the Canadian warehousing and distribution landscape by providing a best-in-class industrial real estate offering and full-service supply chain solutions for our customers – from the first to the last mile.
Basés à Toronto, avec des bureaux à Montréal, Québec et Vancouver, Pure Industriel possède et opère un portefeuille de plus de 41 millions pieds carrés d’immeubles industriels de haute qualité et stratégiquement situés, allant des petits entrepôts aux développements industriels à grande envergure. Notre orientation stratégique nous a permis de développer et d’affiner notre offre unique d’immeubles industriels en vue de servir les besoins de nos clients avec des propriétés de haute qualité situées à des zones stratégiques de la chaîne d’alimentation, du premier au dernier kilomètre. Pure tire fierté de son équipe professionnelle, orientée sur le service à la clientèle.
About the role
Description Role Summary We are seeking a Senior Data Analyst, Energy to lead the collection, processing, allocation, and reporting of utility and energy data across our national industrial real estate portfolio. This role plays a key part in ensuring accurate, timely, and actionable insights into building performance and customer energy use.
You will work closely with the Energy & Sustainability team and cross-functional stakeholders to manage large datasets from diverse sources, perform utility allocations using defined methodologies, and support both regulatory and voluntary reporting. You will also help drive financial value by coordinating data required for energy incentive applications.
Core Responsibilities Energy Data Management
- Collect and organize energy and utility data from sources such as utility bills, submeters, and internal surveys
- Clean, transform and validate data to ensure completeness, consistency, and accuracy
- Apply methodologies to estimate usage for missing data, including weather normalization and occupancy adjustments
- Perform allocations of shared utility usage to customers based on submeters, square footage, occupancy, and heating type
- Collaborate with internal teams and vendors to submit incentive and rebate documentation and track application status
Analytics & Reporting
- Design, develop and maintain interactive dashboards, reports, and visualizations using Power Bi and Microsoft Fabric. Conduct in-depth analysis to generate actionable insights on energy performance
- Support internal and external reporting, including ENERGY STAR, GRESB, and investor disclosures
- Prepare recurring reports summarizing energy use by customer, building, and portfolio, clearly flagging estimated values
Cross-Functional Collaboration
- Work with property management and operations teams to validate data and address discrepancies
- Collaborate with data engineers and analysts to acquire, clean, and structure data
- Identify data gaps and recommend improvements to data collection and management processes
Required Skills And Experience
- Degree or diploma in engineering, computer science, data analytics, or a related field
- 4+ years of experience working with large datasets, ideally in energy, utilities, or real estate
- Proficiency in Power BI, Excel, and SQL; experience with PySpark, R or Python is an asset
- Strong analytical skills, attention to detail, and ability to manage ambiguity
- Experience with energy benchmarking tools (e.g., ENERGY STAR Portfolio Manager) is recommended
- Excellent communication, coordination, and stakeholder engagement skills
- Proven ability to manage multiple data sources and deliver high-quality outputs under tight deadlines
Our people are what makes us different. At Pure Industrial we are committed to workplace diversity and inclusion within our organization; therefore, we encourage all qualified persons from all backgrounds to apply. Accommodations are available, upon request, to all applicants with disabilities throughout our hiring process. Successful applicants will also be subject to a background check.
About Pure Industrial
Pure Industrial is one of Canada’s leading providers of industrial real estate, aiming to transform the Canadian warehousing and distribution landscape by providing a best-in-class industrial real estate offering and full-service supply chain solutions for our customers – from the first to the last mile.
Basés à Toronto, avec des bureaux à Montréal, Québec et Vancouver, Pure Industriel possède et opère un portefeuille de plus de 41 millions pieds carrés d’immeubles industriels de haute qualité et stratégiquement situés, allant des petits entrepôts aux développements industriels à grande envergure. Notre orientation stratégique nous a permis de développer et d’affiner notre offre unique d’immeubles industriels en vue de servir les besoins de nos clients avec des propriétés de haute qualité situées à des zones stratégiques de la chaîne d’alimentation, du premier au dernier kilomètre. Pure tire fierté de son équipe professionnelle, orientée sur le service à la clientèle.