Business Analyst Life Sciences / G&A Data Platforms

About Us

Multiplier AIis a leading AI-driven Healthcare and Life Sciences technology company delivering innovative solutions across Pharma, Healthcare, and Enterprise AI. We empower global organizations with AI-powered platforms, data intelligence, automation, and digital transformation solutions. As we continue to expand, we are looking for energetic professionals who can contribute to our business growth while ensuring operational excellence.

Role Overview

We are looking for an experienced Business Analyst with a strong background in the Life Sciences and Pharmaceutical industries. The ideal candidate brings deep domain expertise in General & Administrative (G&A) subdomains — including Finance, HR, Procurement, Legal, and Compliance — and has hands-on experience working with enterprise data platforms, driving end-to-end requirements and insight delivery in highly regulated environments.

Role Details

• Title:Business Analyst – Life Sciences / G&A Data Platforms
• Experience: 6–10 Years
• Industry: Life Sciences, Pharmaceuticals
• Engagement Type: Full-Time
• Location: Hyderabad / Noida

Requirements

• 6–10 years of Business Analyst experience, with at least 4 years in Life Sciences, Pharmaceuticals, or Biotech.
• Demonstrable experience across G&A subdomains: Finance (GL, AP/AR, FP&A, cost management), HR (workforce analytics, talent data), and/or Procurement.
• Hands-on experience with enterprise data platforms — data lakes, data warehouses, MDM, or EDB architectures.
• Proficiency in writing user stories, process flows data flow diagrams, and BRDs/FRDs.
• Strong working knowledge of Agile/Scrum; experience with JIRA, Confluence, or equivalent tools.
• Familiarity with BI/analytics tools such as Power BI, Tableau, or SAP Analytics Cloud.
• Understanding of data governance: data lineage, data quality, master data, and metadata management.
• Excellent communication and facilitation skills; ability to manage senior stakeholders across business and IT.

• Professional growth and career development opportunities.
• Exposure to Life Sciences and Pharmaceutical data platforms.
• Collaboration with cross-functional teams.
• Experience in enterprise data analytics and business intelligence.
• Opportunity to work on Agile delivery projects.
• Exposure to regulated industry environments.