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Business System Analyst with Delivery, Devices, & Connected Solutions (DDCS)

Coforge

Indianapolis, INFull timeNot Disclosed

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Job Description

Job Title: Business System Analyst with Delivery, Devices, & Connected Solutions (DDCS)

Key Skills: Stakeholder Management, Data Flow Mapping, Gap Analysis, Data Governance, Data Integrity (ALCOA+), GxP, Medical Device.

Experience: 8-10 Years’ experience

Location: Indiana Polis, Indiana


We at Coforge are hiring experienced professionals with strong Business Analysis, Requirements Gathering, Data Flow Analysis, Stakeholder Management, GxP Compliance, Medical Device Development, V&V, DHF, FMEA, LIMS, ELN, and Data Governance experience.


Key Responsibilities:

  • Gather and document business and data requirements from stakeholders.
  • Conduct process mapping, workflow analysis, and gap analysis.
  • Create data flow diagrams, data domain models, and requirements documentation.
  • Collaborate with business SMEs, data architects, and engineering teams.
  • Analyze data movement across systems and identify process improvements.
  • Support data governance, compliance, and regulatory requirements (GxP, DHF, V&V).
  • Evaluate ELN, LIMS, PLM, and related laboratory systems.
  • Facilitate stakeholder meetings and manage requirement traceability.
  • Provide documentation for data transformation and integration initiatives.
  • Support Agile delivery, sprint planning, and backlog refinement.
  • Drive alignment between business, technical, and data teams.
  • Present findings, recommendations, and project artifacts to leadership.


Required Skills & Experience

  • 5+ years of Business Analysis, Systems Analysis, or Data Analysis experience.
  • Strong expertise in Requirements Gathering, Process Mapping, and Gap Analysis.
  • Experience creating Data Flow Diagrams, Data Dictionaries, and RTMs.
  • Strong stakeholder management and workshop facilitation skills.
  • Experience in Pharma, Biotechnology, Medical Device, or Life Sciences domains.
  • Knowledge of GxP, ALCOA+, V&V, DHF, FMEA, CTD, and BLA processes.
  • Experience with LIMS, ELN, PLM, and Document Management Systems.
  • Understanding of Data Governance, Data Architecture, and Data Migration.
  • Familiarity with Bronze, Silver, and Gold Data Layers.
  • Experience with Agile/Scrum methodologies and backlog management.
  • Excellent documentation, communication, and analytical skills.
  • Preferred: Benchling, Signals, LabVantage, Veeva, Jama, Teamcenter, Oracle Agile PLM, and CBAP/PMI-PBA certifications.


About The Company

Coforge

Coforge is a global digital services and solutions provider, that enables its clients to transform at the intersect of domain expertise and emerging technologies to achieve real-world business impact. A focus on very select industries, a detailed understanding of the underlying processes of those industries, and partnerships with leading platforms provides us with a distinct perspective. Coforge leads with its product engineering approach and leverages Cloud, Data, Integration, and Automation technologies to transform client businesses into intelligent, high-growth enterprises. Coforge’s proprietary platforms power critical business processes across its core verticals. The firm has a presence in 21 countries with 26 delivery centers across nine countries. Coforge is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

Company Size10000+
Founded2004
HeadquartersNoida, Uttar Pradesh
IndustryIT Services and IT Consulting
TypePublic Company
SpecialitiesTravel and Transportation, Banking and Financial Services, Insurance, Healthcare, Public Sector, Business Process Solutions, Media, ERP, Manufacturing, Business Process Management, SAP, Metaverse, Digital Services, Cloud and Infrastructure Management Services, Artificial Intelligence, Machine Learning, Data & Analytics, and Data Science

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