Data Analyst — Cloud Commitment & Risk Management

nOps; Northern (KY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

nOps is seeking a Data Analyst to advance cloud FinOps analytics, risk modeling, and portfolio optimization across commitment instruments. You will own data modeling and analytics to maximize savings while controlling risk exposure, partnering with Product, Engineering, FinOps SMEs, and GTM teams.

You will build forecasting models for cloud spend and risk, design dashboards with Looker/Power BI/Tableau, and translate complex data into actionable insights for executives and sales teams.

Qualifications

• 3+ years in data analytics, preferably in Cloud FinOps, treasury, or financial risk modeling.
• Hands-on experience with commitment instruments: AWS RIs & Savings Plans, Azure Reservations, GCP CUD.
• Strong quantitative modeling, forecasting and scenario analysis skills.
• Experience with BI tools and translating data into insights for executives.

Responsibilities

• Build analytical models to forecast cloud spend, usage patterns, and risk exposure across commitment instruments.
• Evaluate and manage commitment ladders to balance savings and flexibility.
• Identify refinancing opportunities and optimize renewal strategies.
• Partner with engineering to operationalize forecasting data into automated actions.
• Create dashboards tracking coverage, savings, utilization, and expirations.
• Provide insights to CS and Sales for customer engagements and executive reporting.

Skills

Cloud FinOps

Financial risk modeling

Data analytics

Forecasting

Executive communication

Tools

Looker

Power BI

Tableau

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