Cloud & AI FinOps Analyst

Pay and contract term

• Pay rate is CAD 66.37 per hour, depending on experience.
• The assignment runs for six months, from November 30, 2026, to May 31, 2027.
• The primary pay classification is T4; INC classification applications may also be considered where applicable.

Location and work arrangement

• The role is based in Vancouver, British Columbia; remote candidates in British Columbia and Alberta are considered.
• Candidates must be able to work British Columbia hours.
• Occasional onsite attendance at Dunsmuir is preferred, particularly for onboarding and training.

Role overview

Responsibilities

• Build Power BI and Excel financial models, dashboards, and reporting for cloud consumption and AI expenditure.
• Design and maintain cost allocation, showback, and chargeback models for Azure resources and AI services.
• Analyze token-based usage and pricing for Azure OpenAI, Azure AI Foundry, Microsoft Copilot, Copilot Studio, and GitHub Copilot.
• Identify spend anomalies, rightsizing opportunities, efficiency gains, and commitment discounts.
• Gather requirements, create conceptual data models, and implement reporting and analytics solutions aligned with technical architecture.
• Review functional specifications, present designs, tune dashboard performance, and maintain data quality.
• Troubleshoot and sustain reporting systems; create process flows, technical documentation, job aids, and SOPs.
• Follow change-management procedures and provide progress updates and issue escalations.

Qualifications

• At least five years of consulting or enterprise experience in reporting, analytics, financial modeling, or equivalent.
• Advanced Microsoft Excel and Power BI proficiency, including data models, dashboards, visual analytics, and performance tuning.
• Working knowledge of Azure architecture and core services, and solid understanding of generative AI services and token-based pricing.
• Working knowledge of data/information architecture and change management; strong data-quality attention and professional communication.
• Bachelor’s degree or technical diploma in Computer Science, Engineering, Business Analytics, Finance, or equivalent.
• FinOps Certified Practitioner or another recognized cloud financial-management credential is preferred.
• Azure Cost Management exports, FOCUS, relevant AI consumption data, and enterprise cost-allocation model experience are preferred.

Assignment equipment