Senior Business Analyst – Supply Chain

Thermo Fisher Scientific

. Lead business requirements, gap assessment, validation, and readiness activities for transitioning legacy data and analytics to modern enterprise capabilities .

Posted 9/29/2026full-timeRemote • Pennsylvania • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in business analysis and digital transformation, with a strong focus on supply chain processes and the ability to translate business opportunities into scalable data and analytics solutions. Proficient in leading cross-functional teams through the solution lifecycle, ensuring alignment with business outcomes and enterprise standards.

Highest-signal resume keywords

Business AnalysisSupply Chain ProcessesData ModernizationUAT CoordinationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Requirements DefinitionProcess DesignAcceptance CriteriaSolution ValidationData AnalyticsAI ImplementationAutomation SolutionsDigital WorkflowsUse Case DevelopmentProcess Flows

Soft Skills

FacilitationCommunicationProblem-SolvingInfluencingStakeholder Management

Tools & Technologies

SAPJDE E1OracleSysproDatabricksAWSMicrosoft Power BI

Industry Keywords

Supply Chain SystemsDigital TransformationEnterprise DataProcess ImprovementDesign Thinking

Tech Stack

Tools & technologies

AWSERPOracle

About the role

Key responsibilities & impact

Lead business requirements, gap assessment, validation, and readiness activities for transitioning legacy data and analytics to modern enterprise capabilities
Elicit and document business and data requirements, business rules, and acceptance criteria for enterprise data model adoption
Partner with data engineering, analytics, and business teams to assess model fit and define required extensions
Identify and shape opportunities to improve supply chain processes through data, analytics, AI, automation, and digital workflows
Lead discovery and future-state design sessions with planners, buyers, supply chain leaders, process owners, and stakeholders
Develop value hypotheses, business cases, success measures, and adoption expectations
Translate prioritized opportunities into use cases, requirements, process flows, user stories, business rules, acceptance criteria, and measurable outcomes
Serve as the primary business-analysis interface across business, product, engineering, analytics, data, AI, automation, and user experience teams
Maintain continuity from discovery through design, build, validation, deployment, and post-release support
Lead requirements clarification, backlog refinement, solution walkthroughs, and functional decision-making
Validate delivered functionality and drive functional defect resolution before business UAT
Define UAT scope, scenarios, entry criteria, and readiness; coordinate business testers
Assess release readiness across requirements, defects, process impacts, documentation, user readiness, and operational dependencies
Coordinate adoption activities including pilots, training, communications, office hours, and feedback mechanisms
Define and track adoption and business-impact measures
Monitor post-release performance, feedback, defects, and enhancement demand and recommend improvements
Ensure delivered solutions are usable, supportable, governed, and aligned with business outcomes and enterprise standards

Requirements

What you’ll need

Seven or more years of experience in business analysis, product management, digital transformation, supply chain systems, or a related discipline
Strong understanding of supply chain processes such as SIOP, demand planning, inventory management, replenishment, procurement, and service performance
Demonstrated experience leading business analysis across the solution lifecycle, including discovery, process design, requirements definition, acceptance criteria, solution validation, UAT, and release readiness
Proven ability to identify, shape, and translate business opportunities into scalable data, analytics, AI, automation, or digital solutions that improve business processes and outcomes
Experience modernizing data, analytics, or business processes within complex enterprise environments, including working across multiple systems, business units, or operating models
Working knowledge of enterprise data, analytics, AI, automation, and ERP or supply chain technologies
Experience in platforms such as SAP, JDE E1, Oracle, Syspro, Databricks, AWS, or Microsoft Power BI preferred
Experience applying product discovery, process improvement, design thinking, process mining, user-centered design, or similar methods
Strong facilitation, communication, problem-solving, and stakeholder-management skills
Demonstrated ability to drive decisions and influence across business and technical teams without direct authority