Deal Intelligence Analyst
Cloudflare is hiring a Deal Intelligence Analyst. Level rates it ; you can apply on Cloudflare.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include Predictive Analytics, Dashboards and data analysis.
- Level classifies it as a mid-level role.
- Level lists 437 other open roles at Cloudflare.
AI in this role
Design data systems and AI-augmented deal desk workflows to optimize pricing and contract execution.
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Lisbon
About the Deal Desk Team
The Deal Desk team is a critical component of the Finance function, serving as a trusted advisor to critical internal stakeholders as deal architect working on structuring, negotiating, approving and closing large complex commitment deals while balancing margin preservation, compliance, and velocity. We are committed to building a data-centric and AI-augmented Deal Desk that leverages predictive analytics and automated workflows to optimize pricing in real-time and automate routine approvals, allowing for deeper strategic focus.
Role Summary
As a Deal Intelligence Analyst, you will be the analytical engine driving our transition to a data-centric and AI-augmented Deal Desk. Sitting within the Finance function, you will design the data systems and executive dashboards that allow our deal architects to analyze complex deal terms, protect margins, and close large, complex commitment deals with unprecedented velocity.
This role is designed for a "full-stack" analyst. You won't just be querying pre-cleaned data—you possess the technical skills to build the pipelines that feed your insights. You will leverage Cloudflare's Developer Platform (Workers, R2, D1, Workers AI) alongside standard data warehousing tools to extract raw CRM and CPQ data, integrate it into AI workflows, and deliver actionable insights that directly impact margin preservation and our global growth.
What you’ll do
- 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 and help them refine their ideas and goals into queries that we’ll automate.
- Drive Strategic Margin Analysis: Partner closely with Finance, Infrastructure and Deal Desk leadership to dive deep into historic and active pricing data, uncovering insights that ensure our quoting strategies consistently align with margin preservation goals.
- Develop Data Pipelines: Apply your data engineering skills to build and maintain data cleansing tools that help refine 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 help 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 your data products for faster, data-driven negotiations.
Required Skills & Experience
- 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.
- Proven experience designing analytical data models; domain expertise in financial and SaaS metrics (e.g. margins, discount rates, ARR, NRR) is a strong plus
- 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).
- Expertise, or interest in learning, CRM data structures (especially Salesforce custom objects), CPQ complexities, and the quote-to-cash lifecycle.
- Solid communication skills with the ability to bridge the gap between technical data systems and operations.
Nice-to-Have Skills
- Background working closely with Deal Desk, Finance, RevOps or Sales Strategy teams at a high-growth SaaS or technology company is a plus
- Strong programming skills in Python (or TypeScript) with hands-on experience building ELT/ETL pipelines, interacting with APIs, and cleaning raw data.
- SQL and deep proficiency in modern data visualization and BI platforms (e.g., Tableau, Looker, Sigma, PowerBI) to build intuitive executive reporting.
- Familiarity with data transformation frameworks and orchestration tools (like Airflow).
- Familiarity with Google Cloud Platform or other analytics databases
If you're excited by fast-paced innovation, dedicated to driving global growth, and want to help build a better internet, we'd love to hear from you.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
How we rate this
Deal Intelligence Analyst at Cloudflare rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where finance was part of your work. What did you do?
- Tell me about a project where pricing optimization was part of your work. What did you do?
- What's a project where you used Predictive Analytics hands-on?
- Walk me through how you've used Dashboards in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Finance, Pricing Optimization, Predictive Analytics, and Dashboards. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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