C

Cloudflare

Secures websites and runs apps on its network

Deal Intelligence Analyst

Data Engineering +1Confirmed live in the last 24 hours
Full-timeLisbon, Portugal

About the Job

Requirements

  • Have 3–5+ years of professional experience in Data Analytics, Business Intelligence, or a technical Revenue Operations role, with a strong emphasis on full-stack data problem solving.
  • Have experience incorporating data into artificial intelligence workflows, utilizing large language model orchestration frameworks, or building predictive models.
  • Have proven experience designing analytical data models.
  • Have strong programming skills in Python or TypeScript, with hands-on experience building extract, load, and transform or extract, transform, and load pipelines, interacting with application programming interfaces, and cleaning raw data.
  • Have experience designing analytical data models for financial and software-as-a-service business analysis, including margins, discount rates, annual recurring revenue, and net revenue retention.
  • Be familiar with cloud data platforms and interested in edge computing or serverless architectures such as Cloudflare Workers, R2, and D1.
  • Have expertise or interest in learning customer relationship management data structures, especially Salesforce custom objects, configure-price-quote complexities, and the quote-to-cash lifecycle.
  • Have solid communication skills and the ability to bridge technical data systems and operations.

Responsibilities

  • 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.
  • Work with stakeholders to refine their ideas and goals into queries that can be automated.
  • Partner with Finance, Infrastructure, and Deal Desk leadership to analyze historic and active pricing data and uncover insights that ensure quoting strategies align with margin preservation goals.
  • Build and maintain data-cleansing tools for data from Salesforce, configure-price-quote, and billing systems, transforming it into clean, usable semantic models.
  • Assist in integrating structured deal data into Deal Desk tools to help automate routine approvals and surface real-time pricing optimizations to deal managers.
  • Translate complex datasets into clear, actionable narratives for non-technical stakeholders, enabling the Deal Desk team to use data products for faster, data-driven negotiations.

Desired Qualifications

  • Have a background working closely with Deal Desk, Finance, Revenue Operations, or Sales Strategy teams at a high-growth software-as-a-service or technology company.
  • Have strong programming skills in Python or TypeScript, with hands-on experience building extract, load, and transform or extract, transform, and load pipelines, interacting with application programming interfaces, and cleaning raw data.
  • Have experience with SQL and deep proficiency in modern data visualization and business intelligence platforms such as Tableau, Looker, Sigma, or Power BI for building intuitive executive reporting.
  • Be familiar with data transformation frameworks and orchestration tools such as Airflow.
  • Be familiar with Google Cloud Platform or other analytics databases.

About the Company

Cloudflare

Secures websites and runs apps on its network

Cloudflare operates a network that protects websites, delivers online content and runs applications closer to their users. Businesses connect websites and internal systems to its services to filter malicious traffic, control access and improve performance, with security and computing running on shared infrastructure. Developers combine application code, object storage and databases with the network used for content delivery and traffic protection. Cloudflare earns revenue from subscriptions and usage charges, with free plans for basic features and negotiated contracts for larger organizations. Cloudflare was founded in 2009 and is headquartered in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2009

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