Business Analyst

Key Responsibilities:

Support and Onsite Delivery-

• Act as the onsite point of contact for AOTM AI, handling functional queries, issue triage, and coordinated resolution with Ninestars product and engineering teams.
• Support configuration, user onboarding, testing, and change activities across the deployment.
• Maintain support documentation, track issues to closure, and report on system health and usage.

Business Analysis and Process Understanding-

• Engage client stakeholders to understand and document business, audit, quality, and compliance processes, capturing workflows, systems, handoffs, and pain points.

• Produce clear current-state process documentation, requirement specifications, and analysis that can be shared with and readily understood by the Ninestars delivery organization.
• Identify areas where processes can be improved, streamlined, or supported more effectively, and document them with sufficient clarity to support planning and estimation.

Coordination and Reporting -

• Support project planning, status tracking, and reporting in coordination with the Ninestars Delivery Lead. • Coordinate requirement gathering, user acceptance testing, and stakeholder communication. • Maintain project artifacts including requirement documents, meeting notes, and status reports.

Required Skills and Experience:

• Full-time MBA from a reputed business school, preferably with a focus on operations, business analysis, or life sciences management.
• Four to five years of overall experience, including at least three years in the life sciences, pharmaceutical, or healthcare domain.
• Working understanding of logistics and third-party logistics operations, freight and transportation invoicing, and accounts payable processes, including the ability to read and interpret rate cards, tariffs, and accessorial charges.
• Working knowledge of GxP processes and regulated ways of working, with an understanding of how compliance requirements shape day-to-day operations.
• Sound understanding of the life sciences supply chain, including artwork, labelling, and packaging processes and the controls that govern them.
• Strong business analysis capability, including the ability to elicit, map, and document complex processes accurately.
• Ability to learn a multi-module enterprise platform quickly and to articulate its capabilities credibly to business and functional stakeholders.
• Working knowledge of project management concepts and delivery methodologies.
• Strong proficiency in MS Office. Advanced Excel is essential, including pivot tables, lookups, and working comfortably with large reconciliation datasets. Word, PowerPoint, and Visio or an equivalent process-mapping tool are also required.
• Practical, hands-on use of AI tools and assistants for process analysis, data summarization, documentation, and drafting, with a clear willingness to adopt AI-assisted ways of working.
• Excellent written and verbal communication, with confidence working directly with senior client stakeholders onsite.