<div class="content-intro"><p>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.</p> <p>We're building a more trustworthy Internet. Come join us.</p></div><p><strong>Business Systems Analyst</strong></p> <p>This role serves as a technical anchor for Fastly’s revenue engine, specializing in the analysis and maintenance of CPQ, Product/SKU architectures, and the Opportunity-to-Cash lifecycle. You will be responsible for ensuring seamless system behavior across Salesforce, Workato, Logisense, and NetSuite by performing deep-dive investigations into complex system flows and data discrepancies using SQL. </p> <p>As the primary owner of UAT and release validation, you will build end-to-end test scripts, execute regression testing, and log detailed defects to safeguard the integrity of automated integrations. Beyond technical triage, you will bridge the gap between business and technology by translating stakeholder needs into structured requirements and managing the development backlog for revenue system enhancements.</p> <p><strong>What You'll Do:</strong></p> <p>CPQ, Product & SKU Systems Analysis</p> <ul> <li> <p>Analyze product configuration, pricing logic, and quoting scenarios within established system frameworks.</p> </li> <li> <p>Support maintenance and evolution of product catalog and SKU structures based on defined GTM and Product requirements.</p> </li> <li> <p>Evaluate how product and pricing changes affect quoting, ordering, billing, and reporting workflows.</p> </li> <li> <p>Identify operational or data risks introduced by product or pricing complexity and raise findings with system owners.</p> </li> </ul> <p>Opportunity → Order-to-Cash Systems & Integration Support</p> <ul> <li> <p>Analyze end-to-end system flows across Salesforce, CPQ, Workato, Logisense, and NetSuite to ensure expected behaviors are functioning correctly.</p> </li> <li> <p>Investigate issues where system outcomes differ from defined requirements, determining likely failure domains (data, mapping, timing, configuration, or automation).</p> </li> <li> <p>Document observed system behaviors and impacts for review with Product Owner and technical teams.</p> </li> <li> <p>Support refinement of documented process flows and controls based on observed operational issues.</p> </li> </ul> <p>UAT Ownership & Release Validation</p> <ul> <li> <p>Build and maintain end-to-end UAT test scripts for Opp → Cash scenarios, including standard flows and edge cases.</p> </li> <li> <p>Prepare and validate test data and system prerequisites across Salesforce, CPQ, Workato, Logisense, and NetSuite.</p> </li> <li> <p>Execute regression testing following integration, automation, or CPQ/product changes.</p> </li> <li> <p>Log high-quality defects with reproducible steps, system record IDs, Workato job IDs, and expected vs. actual outcomes.</p> </li> <li> <p>Retest fixes and maintain UAT documentation and sign-off evidence to confirm readiness.</p> </li> </ul> <p>Integration Issue Triage & Operational Support</p> <ul> <li> <p>Serve as first-line investigator when Opp → Cash system flows fail or produce unexpected outcomes.</p> </li> <li> <p>Perform structured triage to determine if issues stem from data/setup, sequencing, mapping, system configuration, or automation behavior.</p> </li> <li> <p>Assemble complete diagnostic packets to support rapid resolution, including: Route issues to the appropriate resolution path and validate that fixes address the original issue.</p> </li> </ul> <p>Analytical Problem Solving & Data Investigation</p> <ul> <li> <p>Use SQL and system analysis to investigate cross-system discrepancies and data quality issues.</p> </li> <li> <p>Identify patterns in incidents and raise recurring risks or improvement opportunities to system o
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