Senior Life Sciences MES Data & Analytics Analyst

Ethereum Technologies; Atlanta (GA); On-site; USD 90,000 - 140,000; Full time

Job summary

Ethereum Technologies is seeking an experienced Business Analyst in Life Science Advanced Therapy to drive the Next Gen MES Data & Analytics initiative, bridging business operations and technical delivery to ingest MES data into the CDL platform.

You will collaborate with manufacturing, data engineers, solution architects, and stakeholders to define, prioritize, and design high-value D&A products built on ingested data, shaping data governance and quality standards.

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.

Job description

Ethereum Technologies is seeking an experienced Business Analyst in Life Science Advanced Therapy to drive the Next Gen MES Data & Analytics initiative, bridging business operations and technical delivery to ingest MES data into the CDL platform.

You will collaborate with manufacturing, data engineers, solution architects, and stakeholders to define, prioritize, and design high-value D&A products built on ingested data, shaping data governance and quality standards.