Data Analytics & Science Consultant

Job title: Asset Planning – Data Analytics & Science Consultant

Location: Burnaby, British Columbia

Overview

The Data Analytics & Data Science Consultant will work closely with business stakeholders to develop analytics, data science, AI, and reporting solutions that support asset management, asset planning, reliability, and operational decision-making. This is a business-facing technical role requiring someone who can understand business problems, work directly with complex data, develop solutions, and communicate meaningful insights to stakeholders.

What you will be doing

• Work directly with business stakeholders to understand business processes, challenges, and analytics needs.
• Translate business problems into practical data, analytics, AI, and automation solutions.
• Extract, transform, integrate, and analyze large datasets from multiple enterprise systems.
• Develop complex Oracle SQL queries and use Python for data processing, automation, advanced analytics, and data science.
• Design and develop Power BI dashboards, data models, KPIs, and visualizations that provide actionable business insights.
• Perform exploratory and statistical analysis to identify trends, risks, anomalies, and drivers of asset and business performance.
• Develop predictive analytics and machine-learning solutions where appropriate.
• Identify and prototype practical AI and generative AI use cases, including AI agents and intelligent workflows.
• Investigate data quality issues and work with business and Technology teams to improve data reliability.
• Present analytical findings and recommendations clearly to both technical and non-technical stakeholders.
• Develop an understanding of electric utility assets, maintenance, reliability, asset health, and asset management processes.

What you must have

• Strong Oracle SQL, Python, and Power BI skills.
• Experience with data engineering, analytics, data visualization, and data science.
• Knowledge of machine learning, statistical analysis, and AI/generative AI.
• Demonstrated experience working directly with business stakeholders and translating business needs into technical solutions.
• Strong analytical, problem-solving, communication, and presentation skills.
• Ability to independently take an ambiguous business problem from investigation through to a completed analytics solution.
• Experience in electric utilities, energy, infrastructure, engineering, or asset management is preferred. Knowledge of electrical systems, SAP EAM/S/4HANA, Microsoft Fabric, Power Automate, or Copilot would be considered an asset.
• The ideal candidate is someone who combines strong technical capabilities withbusiness curiosity–someone interested in understanding how the business and electric utility systems work, rather than focusing solely on technology.

Salary/Rate Range: $61.00 -$75.00 per hour

Term: 6-month contract; most likely to extend