Global Quantum Intelligence, LLC

Product Business Analyst – SaaS Products

Global Quantum Intelligence, LLC

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

SeniorLead

Tech Stack

CloudERP

About the role

  • Collaborate with product managers, stakeholders, and engineering teams to define and document product requirements, user stories, and acceptance criteria for SaaS-based solutions
  • Analyze business processes and translate them into functional specifications and product workflows
  • Facilitate requirement-gathering sessions, workshops, and product demonstrations with internal and client stakeholders
  • Develop detailed documentation including BRDs, FRDs, process flows, and use case scenarios
  • Partner with UI/UX teams to ensure seamless user experience aligned with business needs
  • Assist in backlog grooming, sprint planning, and release management in Agile environments
  • Evaluate SaaS product features, identify gaps, and recommend enhancements aligned with best practices and business strategy
  • Coordinate UAT (User Acceptance Testing), training, and change management activities
  • Act as the bridge between business stakeholders and technical teams, ensuring clear communication and alignment
  • Ensure product design and business processes adhere to ITIL, TOGAF standards, and enterprise architecture principles

Requirements

  • 7+ years of experience as a Business Analyst, with at least 3+ years in SaaS product development environments
  • Proven experience in business process modeling, requirements management, and SaaS solution analysis
  • Strong knowledge of Agile/Scrum methodologies and tools like JIRA, Confluence, or DevOps
  • Proficiency in preparing documentation (BRD, FRD, user stories, workflows, data models)
  • Solid understanding of cloud/SaaS product architecture and integrations (APIs, web services)
  • Excellent communication, stakeholder management, and presentation skills
  • Certifications: CBAP (Must Have); TOGAF or ITIL (At least one)
  • Experience working with SaaS-based enterprise products (preferred)
  • Exposure to enterprise integrations (ERP, HRMS, or AI/ML-driven SaaS tools) (preferred)
  • Knowledge of data security, compliance, and governance in SaaS environments (preferred)
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