Deal Intelligence Analyst

About the Role

As a Deal Intelligence Analyst at Cloudflare, you will be the analytical engine driving the transition to a data-centric and AI-augmented Deal Desk. You will design data systems and executive dashboards that allow deal architects to analyze complex deal terms, protect margins, and close large, complex commitment deals with unprecedented velocity.

Responsibilities

• Build Advanced Dashboards & Analytics: Design and maintain executive dashboards and self-serve reporting systems that provide real-time visibility into deal terms, discount thresholds, win/loss rates, and margin performance across all regions.
• Transform Ideas into Reality: Work with stakeholders to refine their ideas and goals into queries that will be automated.
• Drive Strategic Margin Analysis: Partner with Finance, Infrastructure, and Deal Desk leadership to uncover insights that ensure quoting strategies align with margin preservation goals.
• Develop Data Pipelines: Build and maintain ELT/ETL pipelines that extract messy data from Salesforce, CPQ, and billing systems, transforming it into clean, usable semantic models.
• Power AI Workflows: Assist in integrating structured deal data into Deal Desk tools to automate routine approvals and surface real-time pricing optimizations to deal managers.
• Data Storytelling & Enablement: Translate complex datasets into clear, actionable narratives for non-technical stakeholders, empowering the Deal Desk team to use data products for faster, data-driven negotiations.

Requirements

• 3-5+ years of professional experience in Data Analytics, Business Intelligence, or a technical RevOps role, with a strong emphasis on full-stack data problem-solving.
• Experience incorporating data into AI workflows, utilizing LLM orchestration frameworks, or building predictive models.
• Expert-level SQL and deep proficiency in modern data visualization and BI platforms (e.g., Tableau, Looker, Sigma, PowerBI).
• Strong programming skills in Python (or TypeScript) with hands-on experience building ELT/ETL pipelines, interacting with APIs, and cleaning raw data.
• Experience designing analytical data models specifically tailored for financial and SaaS business analysis (e.g., margins, discount rates, ARR, NRR).
• Familiarity with cloud data platforms and an interest in edge computing/serverless architectures (Cloudflare Workers, R2, D1).
• Domain expertise in CRM data structures (especially Salesforce custom objects), CPQ complexities, and the quote-to-cash lifecycle.
• Exceptional communication skills with the ability to bridge the gap between technical data systems and strategic Finance operations.