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FinOps Specialist – Multi-Vendor Data & Cost Analytics

BevertecApplies on LinkedInData & Analytics
Salary
CA$60–CA$65/hr
Hiring from
Canada
Work type
Hybrid
Posted

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Job Role: FinOps Specialist – Multi-Vendor Data & Cost Analytics

Location : Toronto, ON/Hybrid

Position Type : Contract Role


Contract Term: 12 months


In office requirement: 3 days per week


Ideal Candidate Rate: CAD 60-65/Hr (Depending on the experience)


Overview: We are seeking an experienced FinOps Contractor with strong data analysis and cloud financial management capabilities to support the analysis, reconciliation, and optimization of technology spend across multiple cloud and technology vendors.

Focused on bringing together large and complex datasets from different vendors and internal sources, identifying trends and cost drivers

Must Have:

  • Strong experience in FinOps, technology financial management, cloud cost management, vendor analytics, or financial/data analysis.
  • Demonstrated experience analyzing large and complex datasets from multiple sources.
  • Strong SQL and advanced Excel skills, with the ability to manipulate, reconcile, and analyze large datasets.
  • Experience with visualization and analytics tools such as Power BI, Tableau, Databricks, Snowflake, or equivalent platforms.
  • Experience analyzing cloud billing and consumption data from AWS, Microsoft Azure, Google Cloud, or other major technology vendors.
  • Strong understanding of consumption-based pricing, cloud billing structures, commitments, discounts, and cost allocation.


Preferred Qualifications

  • FinOps Certified Practitioner or similar FinOps certification.
  • Experience working with multi-cloud and multi-vendor technology environments.
  • Experience with SaaS, infrastructure, software licensing, data platforms, or other consumption-based technology services.
  • Experience supporting vendor negotiations, contract renewals, or commercial analysis.
  • Familiarity with the FinOps Open Cost and Usage Specification (FOCUS).


Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

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