Business System Analyst

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.

• Investigate fraud and payment abuse: Dig into suspicious signup, payment, and usage patterns. Trace how bad actors got through, quantify the impact, and work with Data Science to close the gap to turn one off investigations into repeatable detection.
• Own root cause analysis for billing issues: When invoices, subscriptions, entitlements, taxation, or payments misbehave, you find the real root cause and make sure engineering fixes it accordingly. You quantify the impact, so engineering knows what to prioritize.
• Make new product integrations bill correctly: You own billing correctness for new product launches, from payment till revenue accounting. Define and run the end to end tests, catch the edge cases before launch, and advise engineering on the implementation.
• Own month end reconciliation: Investigate differences between billing and accounting systems, explain every variance, and log the root causes so it does not come back next month.
• Design scalable solutions to operational problems: Replace manual work and recurring escalations with automation, AI agents, or better system design.
• Build your own tooling: Write the SQL to answer the question. Write the script to resolve 1,000 accounts instead of 1. Use AI tooling across analysis, investigation, and documentation.
• Run programs, not just tickets: The surface area here is wide and you get real influence over where the effort goes. Pick the highest impact problem area, break it down, line up the stakeholders, and drive it to a measurable outcome.

• Experience at a high scale technology business, ideally with a self serve motion
• A track record of owning ambiguous problems end to end and driving them to a measurable outcome
• Strong SQL proficiency and comfort working with large datasets
• Familiarity with Python for scripting and light automation
• Solid understanding of how systems integrate: APIs, webhooks, and event driven flows
• Hands on with AI tooling in your daily workflow
• Program management and process improvement experience
• Excellent written and verbal communication
• Investigative and detail oriented, you want the actual root cause rather than a plausible one
• A bias to go straight to the data and drive problems to resolution without waiting for direction
• Analytical, you can tell an anecdote from a pattern and quantify the difference
• Systems thinking, you fix the class of problem rather than the single instance
• Comfort with ambiguity and shifting priorities

• Experience working with billing or subscription systems (Stripe, Zuora, or similar)
• Experience with fraud, payment abuse, chargebacks, or trust and safety type investigations
• Experience running end to end validation across multiple systems
• Familiarity with the finance side of quote to cash