Asset Planning - Data Analytics & Science Consultant

Job summary

The consultant will collaborate with business stakeholders to translate complex business problems into practical data, AI, and automation solutions. They are responsible for extracting and analyzing large datasets to provide actionable insights for asset management and operational decision-making.

Job details

Pay Rate: $66.01/hour, depending on experience Contract Length: 5 months and 19 days, possible extension Location: Burnaby, British Columbia Raise is currently hiring an Asset Planning - Data Analytics & Science Consultant on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our Client, is one of the largest electrical energy suppliers in Canada. Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable. Description 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. Responsibilities 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. Qualifications A minimum eleven (11) years of directly related work experience in data engineering, analytics, data visualization, and data science. Strong Oracle SQL, Python, and Power BI skills. 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 with business curiosity—someone interested in understanding how the business and electric utility systems work, rather than focusing solely on technology. Education and Certifications Bachelor’s degree in Business, Law, Finance, Economics, Engineering, or related discipline Additional Information Every contractor must supply their own Windows 11 Laptop computer for the duration of the assignment. Every contractor must supply their own “Smart Phone”. This is needed to gain access to the Organizations network. Looking for meaningful work? We can help! Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity. We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities. We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/ In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or any other Raise job posting (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com. #WES

What you’ll do

The consultant will collaborate with business stakeholders to translate complex business problems into practical data, AI, and automation solutions. They are responsible for extracting and analyzing large datasets to provide actionable insights for asset management and operational decision-making.

Requirements

Candidates must have a minimum of eleven years of experience in data engineering, analytics, and data science with strong proficiency in Oracle SQL, Python, and Power BI. A bachelor's degree in a relevant discipline is required, along with the ability to independently manage projects from investigation to completion.

Listed skills

• Data visualization · Preferred
• Power BI · Preferred
• Asset Management · Preferred
• Machine learning · Preferred
• Communication · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Oracle SQL
• Python
• Power BI
• Data Science
• Data Analytics
• Machine Learning
• Statistical Analysis
• Artificial Intelligence
• Generative AI
• Asset Management
• Data Engineering
• Data Visualization
• Automation
• Predictive Analytics
• Business Process Analysis
• Communication

Job areas

• Data & Analytics
• Technology
• Energy
• Consulting
• Software