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Prague, Czech RepublicRemote

Business Analyst

About

We are seeking an experienced Business Analyst to support Real-Time Process Monitoring & Analytics initiatives across bioprocessing, cell health monitoring, potency assays, and integrated manufacturing workflows. The role will bridge business, scientific, and technology teams by translating operational and laboratory requirements into clear, traceable, and delivery-ready requirements.

Responsibilities

  • Lead discovery sessions, stakeholder interviews, workshops, and requirements-gathering activities.
  • Analyze and document current-state and future-state business processes, workflows, and operational models.
  • Define and manage functional, non-functional, data, integration, reporting, security, and compliance requirements.
  • Develop process maps, BPMN diagrams, data-flow models, user stories, acceptance criteria, and requirements traceability matrices.
  • Collaborate with scientists, laboratory users, product managers, architects, engineers, and vendors to drive alignment and decision-making.
  • Translate business needs into Jira epics, features, user stories, and prioritized backlogs.
  • Identify risks, dependencies, assumptions, scope gaps, and process improvement opportunities.
  • Support solution planning, estimation, testing, user acceptance, and operational handover activities.

Requirements

  • 5+ years of experience as a Business Analyst, Business Systems Analyst, or Product Analyst.
  • Strong expertise in requirements elicitation, business process analysis, and stakeholder management.
  • Experience creating process maps using BPMN, SIPOC, swimlane diagrams, or similar methodologies.
  • Hands-on experience documenting integrations, data flows, systems of record, business rules, and non-functional requirements.
  • Experience with Jira, Confluence, and Agile delivery methodologies.
  • Strong analytical, communication, documentation, and facilitation skills.

Preferred Experience

Pharmaceutical, biotechnology, laboratory automation, manufacturing science, or scientific data environments.

Process Analytical Technology (PAT), laboratory instruments, scientific workflows, and time-series data.

Knowledge of Ignition, OPC-UA, DeltaV, Databricks, MLOps, Python, and cloud-based data platforms.

Experience with regulated environments, GxP, data integrity, validation, audit trails, and compliance requirements.

Exposure to architecture assessments, vendor evaluations, and cross-functional digital transformation initiatives.

Key Deliverables

Business process maps and workflow documentation.

Requirements catalogues and traceability matrices.

Data-flow and integration inventories.

Decision logs and option-analysis documentation.

Jira-ready user stories with acceptance criteria.

Risk, dependency, and scope management artifacts.

UAT scenarios and operational handover documentation.

Success Measures

Approved and traceable requirements baselines for each use case.

Clear ownership and resolution of key business and technical decisions.

Well-defined, testable, and prioritized backlog supporting delivery readiness.

Strong alignment between business, scientific, architecture, and delivery teams.

Reduced scope ambiguity and improved project execution readiness.

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