Senior Business Analyst

Quantum Technologies. LLC; Atlanta (GA); Sur place; USD 90 000 - 130 000; Plein temps

Résumé du poste

Quantum Technologies. LLC is seeking an experienced Business Analyst in Life Science Advanced Therapy to drive the Next Gen MES Data & Analytics initiative.

The BA will bridge business operations and technical delivery, focusing on ingesting MES data into the CDL platform and defining valuable D&A products built upon the ingested data. You will partner with manufacturing, engineering, IT, data engineers, and enterprise leaders to translate goals into actionable requirements, document data

Qualifications

• Experience as a Business Analyst in Life Science or manufacturing domains.
• Ability to translate business goals into data products and user stories.
• Experience with data ingestion from MES to enterprise data lake.
• Familiarity with data governance, security, and quality standards.
• Strong collaboration with data engineers, architects, and QA.

Responsabilités

• Define and manage MES-to-CDL data ingestion requirements.
• Map MES source data to CDL schemas.
• Create KPIs and business rules for analytics.
• Maintain product backlog for D&A builds.
• Coordinate with data engineers, architects, and QA.
• Lead UAT and obtain business sign-off.
• Ensure data governance and security adherence.
• Create data dictionaries and user guides.
• Collaborate with site manufacturing and IT teams.

Connaissances

Business Analysis

Data Ingestion

Stakeholder mgmt

UAT Facilitation

KPI Definition

Agile/SCRUM

Outils

Agile Tools

Description du poste

Role Summary

Seeking an experienced Business Analyst in Life Science Advanced Therapy to drive the Next Gen Manufacturing Execution System (MES) Data & Analytics initiative. In this role, the BA will need to bridge the gap between business operations and technical delivery, focusing on the ingestion of MES data into Enterprise Data Lake (CDL) platform. Collaborate closely with business and functional stakeholders, data engineers, and enterprise leaders to define, prioritize, and design high-value Data & Analytics (D&A) products built upon the ingested data.

Key Responsibilities

• Partner with manufacturing, engineering, and IT teams at the Raritan site to understand MES architecture, data models, and operational workflows.
• Define, document, and manage end-to-end functional and technical data ingestion requirements from MES to the CDL platform.
• Map manufacturing source data (e.g., batch records, equipment telemetry, downtime events, quality metrics) to target CDL schemas.
• Translate business goals into actionable D&A user stories, and acceptance criteria
• Analyse the raw data and define KPI metrics and business rules for reporting and downstream analytics products.
• Maintain, prioritize, and refine the product backlog for MES-to-CDL ingestion and D&A product builds.
• Partner with Data Engineers, Solution Architects, and QA teams throughout the sprint lifecycle to ensure clear requirements and validate deliverables.
• Facilitate User Acceptance Testing (UAT), define test scenarios, and secure business sign-off for release.
• Ensure data ingestion patterns adhere to enterprise data governance, security, and quality standards.
• Create standard DOMDs, functional specifications, data dictionaries, process workflows, and user guides.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.