Senior Business Analyst

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 85,000 - 125,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced Business Analyst in 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 CDL platform and collaborating with data engineers and enterprise leaders.

Work with stakeholders to define, prioritize, and design high-value D&A products built on ingested MES data.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Experience translating business needs into data ingestion requirements.
• Knowledge of MES data and enterprise data lake concepts is a plus.

Responsibilities

• Partner with manufacturing, engineering, and IT teams to understand MES architecture and workflows.
• Define, document, and manage end-to-end data ingestion requirements from MES to CDL.
• Map source data to CDL schemas, including batch records and telemetry.
• Translate goals into actionable D&A user stories and acceptance criteria.
• Analyze raw data, define KPI metrics and business rules for reports.
• Maintain and refine the backlog for MES-to-CDL ingestion and D&A builds.
• Collaborate with data engineers, solution architects, and QA through sprints.
• Facilitate UAT, define test scenarios, and secure business sign-off.
• Ensure data ingestion adheres to governance and security standards.
• Create data dictionaries, workflows, and user guides.

Skills

Business analysis

Data analysis

Requirements gathering

Stakeholder collaboration

Education

Bachelor's degree in Life Sciences, IT, or related field

Tools

SQL

Data modeling

ETL tools

MES/EDW concepts

Job description

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.