Jobs → Data & Analytics → Business Analyst – Next Gen MES & Data Analytics

About the Role We are looking for an experienced Business Analyst with a strong background in Manufacturing Execution Systems (MES), manufacturing data, and data analytics to support next-generation manufacturing data initiatives. Key Responsibilities • Gather, analyze, and document business and technical requirements for MES data integration and analytics initiatives • Define end-to-end data ingestion requirements from MES platforms into an Enterprise Data Lake • Map manufacturing data, including electronic batch records, equipment telemetry, downtime, and quality metrics, to enterprise data schemas • Develop detailed user stories, acceptance criteria, business rules, process flows, and functional specifications • Analyze raw manufacturing data and translate business needs into actionable data and analytics requirements • Collaborate with data engineers, solution architects, QA teams, and business stakeholders • Support data validation, SIT/UAT, defect resolution, and business sign-off • Maintain data dictionaries, data mapping documents, governance requirements, and user documentation Requirements • 8+ years of experience as a Business Analyst, Technical Business Analyst, or Data Business Analyst • Hands-on experience with MES (Manufacturing Execution Systems) and manufacturing operations • Experience in pharmaceutical, biotechnology, life sciences, or regulated manufacturing environments • Strong understanding of data mapping, ETL/data integration, data ingestion, and data quality • Proficiency in SQL and source-to-target data mapping • Experience writing user stories, acceptance criteria, functional specifications, and supporting UAT • Excellent communication, analytical, and stakeholder management skills Preferred Qualifications • Experience integrating MES data with an Enterprise Data Lake or analytics platform • Familiarity with GMP/GxP, electronic batch records, manufacturing KPIs, and data governance • Experience with data warehouses, Informatica, SSIS, or similar data integration technologies • Knowledge of equipment telemetry, production performance, and quality metrics