Data Analytics Specialist

The Data Analytics Specialist is accountable for supporting the optimization of transmission asset data, analytics workflows, and asset health tools. In this role, you will develop and maintain high‑quality datasets, analytical models, dashboards, and data pipelines that enable informed asset planning, risk management, and investment decisions. This is a 12 month contract, hybrid, in Edmonton AB.

What you’d be responsible for:

• Develop, implement, and maintain analytical models, dashboards, and visualization tools that support asset health, risk, and lifecycle planning
• Ensure data integrity, consistency, and alignment across ERP, GIS, Asset Health Index (AHI), and related systems through validation, reconciliation, and data quality monitoring.
• Design, enhance, and manage data pipelines and data structures to support analytics, reporting, and regulatory requirements
• Collaborate with Engineering, Operations, and stakeholders to identify analytical opportunities that improve reliability, maintenance strategies, and capital planning
• Define functional requirements, user stories, and analytical specifications for data and technology initiatives
• Support evaluation and pilot implementation of emerging technologies (e.g., AI/ML, drones, IoT sensors, digital twins) through data preparation and analysis
• Contribute to long‑term digital and analytics roadmaps by identifying capability gaps and improvement opportunities
• Work with regulatory and compliance teams to ensure analytical outputs support auditability, traceability, and reporting needs
• Prioritize analytics requests, manage delivery timelines, and continuously improve tools and workflows within established governance frameworks

Required Experience & Skills:

• Bachelor’s degree in Engineering, Data Science, Information Systems, Business, or a related technical field is required
• Minimum 5 years of progressive experience in an asset‑intensive environment (utilities, energy, water, or infrastructure)
• Experience in transmission or electricity utility environments is an asset
• Professional certifications in analytics, asset management, or digital technologies is an asset
• Strong understanding of asset management principles, including lifecycle planning, risk frameworks, condition assessment, and capital planning
• Hands‑on experience with ERP systems (e.g., Oracle), including master data structures and maintenance modules
• Proven experience with data governance, data quality management, and analytics stewardship practices
• Proficiency with analytics tools and languages such as Power BI, SQL, Python, and/or cloud‑based analytics platforms