Senior MES Data & Analytics Business Analyst

Robotics Technologies LLC; Atlanta (GA); On-site; USD 90,000 - 150,000; Full time

Job summary

Robotics Technologies LLC seeks a Business Analyst for Life Science Advanced Therapy to drive the Next Gen MES Data & Analytics initiative. You will bridge business operations and technical delivery, focusing on ingesting MES data into the Enterprise Data Lake (CDL) and defining valuable D&A products built on ingested data.

You will collaborate with manufacturing, engineering, and IT leaders to translate goals into actionable user stories, ensure governance, and guide the sprint lifecycle from

Qualifications

• Bridge business operations and technical delivery for MES data ingestion into CDL platform.
• Translate business goals into actionable D&A user stories and acceptance criteria.

Responsibilities

• Partner with manufacturing, engineering, and IT at the Raritan site to understand MES architecture and workflows.
• Define, document, and manage end-to-end data ingestion requirements from MES to the CDL platform.
• Map source MES data (batch records, telemetry, downtime, quality metrics) to CDL schemas.
• Translate business goals into D&A user stories and acceptance criteria.
• Analyze raw data and define KPI metrics and business rules for reporting and analytics products.
• Maintain and refine the product backlog for MES-to-CDL ingestion and D&A builds.
• Collaborate with Data Engineers, Solution Architects, and QA through sprint lifecycles to ensure clear requirements and deliverables.
• Support UAT, define test scenarios, and obtain business sign-off for releases.
• Ensure ingestion patterns comply with data governance, security, and quality standards.
• Create DOMDs, functional specs, data dictionaries, workflows, and user guides.

Job description

Robotics Technologies LLC seeks a Business Analyst for Life Science Advanced Therapy to drive the Next Gen MES Data & Analytics initiative. You will bridge business operations and technical delivery, focusing on ingesting MES data into the Enterprise Data Lake (CDL) and defining valuable D&A products built on ingested data.

You will collaborate with manufacturing, engineering, and IT leaders to translate goals into actionable user stories, ensure governance, and guide the sprint lifecycle from