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Data Analyst — Cloud Commitment & Risk Management

nOps.io

San Francisco, CARemoteFull-time$120–200K/yrPosted 9mo agoChecked 1w ago
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At a glance

Compensation
$120–200K/yr
Location
San Francisco, CARemote
Schedule
Full-time
Work Authorization
Not specified

Job overview

nOps.io is hiring a Data Analyst — Cloud Commitment & Risk Management. The company seeks a Data Analyst with strong expertise in financial risk analysis, refinancing, and ladder management to join the Cloud Commitment Automation team, owning data modeling and analytics to continuously optimize commitment portfolios across clouds for maximum savings while controlling risk exposure.

Key focus areas include Build analytical models to forecast cloud spend, usage patterns, and risk exposure across multiple commitment instruments, Evaluate and manage commitment ladders to design optimal maturity structures balancing savings and flexibility, and Identify refinancing opportunities such as SP/RI exchanges and cloud reservation reshaping.

Important skills include Tableau, Google Cloud Platform, Microsoft Azure, AWS RIs & Savings Plans, Azure Reservations, and GCP Committed Use Discounts. Preferred (not required): Amazon Web Services, Database Arch/Design, Analytics, and Power BI.

Skills & qualifications

RequiredNice to have

Skills

TableauGoogle Cloud PlatformMicrosoft AzureAmazon Web ServicesDatabase Arch/DesignAnalyticsPower BILookerRisk ManagementFinancial RiskAutomationBusiness Intelligence ToolsAWS RIs & Savings PlansAzure ReservationsGCP Committed Use DiscountsQuantitative ModelingForecastingCorrelationScenario AnalysisData AnalysisCommunication

Qualifications

3+ Years Data AnalyticsExperience in Cloud FinOps Treasury or Financial Risk Modeling

Full job description

We are looking for a Data Analyst with strong expertise in financial risk analysis, refinancing, and ladder management to join our Cloud Commitment Automation team. This person will own the data modeling and analytics required to continuously optimize commitment portfolios across clouds, ensuring maximum savings with controlled risk exposure.

You’ll work closely with Product, Engineering, FinOps SMEs, and GTM teams to develop insights, models, and playbooks that drive automated, data-driven decision-making.

Key Responsibilities

  • Build analytical models to forecast cloud spend, usage patterns, and risk exposure across multiple commitment instruments

  • Evaluate and manage commitment ladders — design optimal maturity structures to balance savings and flexibility

  • Identify refinancing opportunities (e.g., SP/RI exchanges, Azure re-reservation, GCP commitment reshaping)

  • Partner with engineering to operationalize forecasting data into automated actions

  • Create internal dashboards tracking coverage, savings performance, utilization trends, and expirations

  • Provide actionable insights to CS and Sales for customer engagements and executive reporting

  • Develop and continuously refine benchmarking methodologies across clouds

  • Contribute to roadmap decisions for commitment automation capabilities

Skills & Experience

Required

  • 3+ years in data analytics, preferably in Cloud FinOps, treasury, or financial risk modeling domains

  • Hands-on experience with commitment instruments like: AWS RIs & Savings Plans (Compute & Non-Compute), Azure Reservations, GCP Committed Use Discounts (CUD)

  • Strong quantitative modeling skills (forecasting, correlation, scenario analysis)

  • Experience with BI tools (Looker, Power BI, Tableau, etc.)

  • Ability to communicate complex insights to executives and non-technical stakeholders

You've read the whole posting — now see how you match it.

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