Fastly

Fastly

Finance Systems Analyst

Denver, CO; New York City, NY

Sponsorship not specified$97k-$137kDetected 9 hours ago
GitSQLBigQueryCloud PlatformsData VisualizationComputer VisionAgileSalesforceCRMERPCommunicationProblem SolvingNetSuite

About the role

  • Posting Open Date: 3/24/26 Anticipated Posting Close Date*: 6/24/26 *Job posting may close early due to the volume of applicants.
  • This role will play an important part in troubleshooting business issues, analyzing data, improving operational processes, and supporting system enhancements and projects within the Order-to-Cash ecosystem.

Responsibilities

  • Provide day-to-day support for billing and invoicing systems, ensuring accurate and timely invoice generation
  • Support operational processes related to contracts, orders, billing, and revenue flow across the Order-to-Cash lifecycle
  • Perform root cause analysis on billing discrepancies and operational issues
  • Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too.
  • Not only do our customers have a tremendous user base, but we also support a growing number of open source projects and initiatives.

Requirements

  • ~5-7 years of experience in Finance Systems, Business Systems, Billing Operations, or Order-to-Cash functions
  • Must have good understanding of Lead-to-Cash processes, including: Opportunity, Quote, Contracts, Orders, Billing, Invoicing, Subscription and/or usage-based billing
  • Must have experience querying and analyzing data using BigQuery, SQL tools, or similar platforms
  • Experience using Google Workspace tools (Sheets, Docs, etc.)
  • This position may require travel as required by your role or requested by your manager.
  • The ideal candidate has strong analytical skills, good understanding of Lead-to-Cash processes, and hands-on experience with data querying and reporting tools.
  • This is an excellent opportunity for someone with ~5-7 years of experience who is comfortable operating at the intersection of finance operations, systems, and data analysis.
  • A fully completed application and resume or CV are required when applying.
  • All job applications must be submitted through our official careers site at www.fastly.com/about/careers.

Nice to have

  • Experience with NetSuite ERP
  • Experience with usage-based or subscription billing platforms such as LogiSense, or similar platforms (e.g., Zuora, Aria)
  • Familiarity with Salesforce or CRM systems
  • Experience with Looker or other BI / analytics platforms
  • Exposure to system integrations, automation, or API-driven workflows
  • Experience supporting projects within Order-to-Cash or Finance Systems environments
  • Interest in leveraging AI and automation to solve business and operational problems
  • We'll be super impressed if you have experience in any of these:

Skills

  • Fastly helps people stay better connected with the things they love.
  • Come join us.

Compensation

  • The estimated salary range for this position is $97,070.00 to $137,040.00.
  • Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location.

Benefits

  • We support our teams with great benefits that start on the first day of your employment with Fastly.
  • We offer a comprehensive benefits package including medical, dental, and vision insurance.
  • We also offer 401(k) (including company match) and an Employee Stock Purchase Program.
  • For 2026, we offer 12 paid local holidays, 12 paid company wellness days.
  • Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities.

Company info

  • What We're Looking For:
  • We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day.
  • We are passionate.

This listing is sourced directly from Fastly's careers page and normalized into a canonical job model.