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.
