Sr. Financial Analyst, Cloud Infrastructure

Responsibilities

• Drive financial forecast model updates and trend analyses for cloud infrastructure and hosting expenses.
• Partner with Engineering, Product, and Cloud Infrastructure teams to analyze cloud spend, develop monthly/quarterly forecasts, and provide key insights that drive business decisions..
• Enhance and maintain financial models in Excel, identifying opportunities to automate processes.
• Ensure forecast accuracy, validate trends, and support with root cause analysis.
• Monitor and flag anomalous cloud costs, collaborating with relevant teams to drive mitigation.
• Perform key analyses on company growth and optimization initiatives to drive strategic decision-making.
• Lead scorecard reporting, assist in automation efforts, and support ad-hoc financial analysis.
• Assist in developing a committed usage discount model and supporting long-range consumption modeling for cloud platforms (GCP negotiations).
• Develop, enhance and socialize cloud cost monitoring tools for engineering and leadership teams.

As a Financial Analyst supporting our Cloud Infrastructure FP&A team, you will play a critical role in driving financial forecasting, trend analyses, and automation for cloud based expenses across multiple platforms like GCP, AWS, and Azure. You will collaborate closely with Engineering, Product, and Cloud Infrastructure leaders to analyze cloud spend, identify cost-saving opportunities, and develop monthly, quarterly, and annual financial forecasts.
You ll also monitor cloud costs and anomalous spending, perform key analyses to support growth and optimization initiatives, and contribute to the development of long-range consumption models.

About you

• College degree in Finance, Economics, or related field.
• 1-2 years of relevant work experience in financial analysis.
• Advanced Excel skills with the ability to connect multiple data sources.
• Strong quantitative, analytical, and problem-solving skills with experience working with large data sets.
• Familiarity with cloud environments (GCP, AWS, Azure) and cost structures.
• Experience in communicating insights with both finance and non-finance stakeholders.
• Direct experience with automated data extraction and reporting tools like Tableau, PowerBI, or Looker.
• Working proficiency in BigQuery and SQL.

Preferred Skills

• Experience in R&D finance and project-based forecasting and planning.
• Background in SaaS companies.
• Experience with cloud-based forecasting tools such as Anaplan or Adaptive.
• Familiarity with Cloud FinOps and cost optimization strategies.
• FinOps certification.
• FP&A or investment banking experience is a plus.