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Business Analyst – Life Sciences / G&A Data Platforms at Multiplier AI – Hyderabad | Jobyssey

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Business Analyst – Life Sciences / G&A Data Platforms

Business Analyst – Life Sciences / G&A Data Platforms

Multiplier AI · Hyderabad, Noida, India · 2 weeks ago

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Employment: Full time
Category: Business analysis
Experience: 4+ years

agile analytics cloud confluence data-analytics data-governance data-lineage data-quality jira mdm

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Multiplier AI is hiring a full-time Business Analyst (6–10 yrs) in Hyderabad or Noida to drive requirements and insight delivery on life-sciences/pharma G&A data platforms covering finance, HR, and procurement. Day-to-day involves user stories, BRDs/FRDs, Agile delivery (JIRA/Confluence), and work with data lakes/warehouses and BI tools like Power BI and Tableau.

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.

Benefits

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.

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