Analytics Analyst

Burnaby, BC
Hybrid
Posted Oct 16, 2026
1 position

$53–$75 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 2 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Partner with business, engineering, asset-management, maintenance, and field teams to analyze asset health, maintenance, reliability, outage, and operational data using Oracle SQL and Python. Build Power BI dashboards and analytics solutions, investigate data-quality issues, and present findings and recommendations to technical and non-technical stakeholders.

Job details

Data Analytics & Data Science Consultant – Asset Planning Contract: 6 months, with strong potential for extension Work Type: Business-facing Data Analytics / Data Science Hybrid 2 days in office - Burnaby BC The Opportunity We are looking for a Senior Data Analytics / Data Science professional to work closely with engineering, asset management, maintenance and field teams. This is not a traditional IT-only data role. You will sit close to the business, learn how critical infrastructure assets operate, understand stakeholder challenges and use data to support better asset planning, reliability and operational decisions. What You'll Do Partner directly with business, engineering and asset-management stakeholders Analyze asset health, maintenance, reliability and operational data Review and analyze outage and asset-performance information Use Oracle SQL to extract and analyze complex datasets Use Python for data processing, automation and advanced analytics Build Power BI dashboards, KPIs and visualizations Perform statistical and exploratory analysis to identify trends, risks and anomalies Develop predictive analytics and machine-learning solutions where appropriate Explore practical AI / Generative AI use cases and automation opportunities Investigate data-quality issues and improve data reliability Present findings and recommendations to both technical and non-technical stakeholders. What We're Looking For Strong Oracle SQL, Python and Power BI Experience across data analytics, data science and data visualization Knowledge of statistical analysis, machine learning and AI Nice to Have Experience in utilities, energy, infrastructure, engineering or asset management is highly desirable. Exposure to SAP EAM/S/4HANA, Microsoft Fabric, Power Automate or Copilot would also be an asset.

What you’ll do

Requirements

The role calls for strong Oracle SQL, Python, and Power BI skills, along with experience in data analytics, data science, and data visualization. Knowledge of statistical analysis, machine learning, and AI is expected; experience in utilities, energy, infrastructure, engineering, or asset management is highly desirable.