Finops Analyst

Snyk Snyk · Enterprise · London, United States, United Kingdom

The FinOps Analyst role at Snyk focuses on managing and optimizing cloud financial operations. This involves building and maintaining FinOps infrastructure, ensuring accurate cost allocation through tagging standards, providing consumption trends, driving cost efficiency across various cloud services, and managing cost governance through anomaly detection and commitment management. The role acts as a bridge between Finance and R&D to influence cost-efficient design and provide strategic recommendations.

What you'd actually do

  1. Build and maintain the FinOps infrastructure, including cost forecasting, granular dashboards, and actionable reporting for engineering teams.
  2. Own the global cloud tagging standards and cost-allocation logic to ensure 100% reporting health across AWS and GCP.
  3. Act as the "Data Engine" for profitability, providing high-fidelity consumption trends to the Lead Procurement Business Partners, FP&A, and Pricing teams.
  4. Drive cost efficiency across compute, storage, databases, observability, and search platforms.
  5. Establish and monitor anomaly detection; lead the triage of billing spikes to ensure immediate remediation and root-cause analysis.

Skills

Required

  • 3-5+ years in Cloud Infrastructure, Platform Engineering, SRE, or FinOps
  • AWS and GCP
  • major SaaS providers (e.g., Datadog, Confluent, Snowflake)
  • cloud billing data (AWS CUR / GCP Billing Export)
  • SQL
  • Visualization tools (Looker, Tableau, etc.)
  • driving cost initiatives
  • Communication
  • Adaptability

Nice to have

  • FinOps Certified Practitioner (FCP)

What the JD emphasized

  • track record of driving impact across multiple teams or systems
  • Deep hands-on experience with AWS and GCP
  • Proficiency with cloud billing data (AWS CUR / GCP Billing Export) and SQL/Visualization tools (Looker, Tableau, etc.)
  • Proven ability to drive cost initiatives from initial problem identification through to technical execution and measurable outcomes.
  • Experience operating effectively in high-ambiguity environments and building practices from the ground up