Senior MES Data & Analytics Analyst

Machine Learning Technologies, LLC

Atlanta (GA)

On-site

USD 85,000 - 125,000

Full time

4 days ago
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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

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.

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Competitive compensation
Flexible work-life balance
Travel opportunities