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Popular Business Analyst title, early-career experience band, and consulting employer increase candidate competition.
BA, process-mining, and GenAI skills are transferable but favor consulting and enterprise automation.
Explicit 1–3 years plus mandatory daily GenAI tooling, Azure DevOps experience, and artifact ownership creates high filter strictness.
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Lead structured discovery workshops using AI tools to capture and synthesize business processes and produce actionable outputs.
Translate business needs into detailed requirements and artifacts for AI and automation solutions, maintaining alignment through testing and delivery phases.
Manage backlog refinement, testing programs, and user acceptance testing, ensuring solution readiness in collaboration with US-based teams.
1-3 years in business analysis, process optimization, or hyperautomation delivery with AI/ML or Gen AI exposure.
Daily use of Gen AI tools like Claude Code, Codex, or Copilot Cowork for business analysis and solution delivery.
Fluency in Agile delivery practices using tools like Azure DevOps or Jira, with full artifact ownership (user stories, acceptance criteria, process flows).
Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or related field; Equivalent experience considered.
Experience integrating Gen AI tools into analysis workflows and owning end-to-end requirements in AI-enabled projects.
Familiarity with client-facing, professional services, or consulting environments involving direct client interaction and delivery visibility.
Ability to operate in a global delivery environment collaborating across time zones (overlap window approx. 6:30 PM – 12:30 AM IST).