Data Analytics
1 day ago
Burnaby, Metro Vancouver Regional District, Canada
TEEMA Group
Full-time
€84,000 - €103,000 Contract
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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
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