Finance Systems Analyst
FastlyDenver, CO; New York City, NY$97k – $137kPosted 25 March 2026
Job Description
Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including GitHub, Yelp, Paramount, and JetBlue.
We're building a more trustworthy Internet. Come join us.
Posting Open Date: 3/24/26
Anticipated Posting Close Date*: 6/24/26
*Job posting may close early due to the volume of applicants.
Finance Systems Analyst
We are seeking a Finance Systems Analyst to support our Billing Systems and broader Order-to-Cash (O2C) operations. This role will work closely with the Billing Operations, Finance, and Business Systems teams to support and improve systems that manage Contracts, Orders, Billing, and Invoicing across subscription and usage-based revenue models.
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 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.
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.
What You'll Do:
Provide day-to-day support for billing and invoicing systems , ensuring accurate and timely invoice generation
Troubleshoot billing and invoicing issues across subscription and usage-based billing models
Work closely with billing operations to resolve discrepancies related to contracts, pricing, usage, and invoicing
Investigate and resolve data issues impacting billing accuracy
Support operational processes related to contracts, orders, billing, and revenue flow across the Order-to-Cash lifecycle
Assist with issue resolution across Billing Operations, Finance, and Business Systems teams
Analyze system workflows and identify opportunities to improve process efficiency and data quality
Perform root cause analysis on billing discrepancies and operational issues
What We're Looking For:
Required Qualifications
~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
Strong analytical and problem-solving abilities with attention to detail
Excellent communication skills and ability to collaborate across teams
Experience using Google Workspace tools (Sheets, Docs, etc.)
Preferred Qualifications
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:
LogiSense Billing Platform Implementation
Salesforce CPQ, CLM experience
BigQuery, Looker Reporting, SQL
Workato Integrations Hands on experience
AI Automation in Billing/Revenue Space hands on experience
Work Hours:
This position will require you to be available during core business ... (truncated, view full listing at source)
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