Your role & responsibilities

Collaborate with stakeholders to elicit, analyze, and document detailed business requirements for implementing a robust Manufacturing Execution System (MES) within the manufacturing environment
Collaborate with cross-functional teams to conduct in-depth analyses of existing business processes, identify inefficiencies, and propose and implement process enhancements to optimize manufacturing efficiency
Collaborate with the technical team to ensure seamless integration of the MES with existing systems, guaranteeing a cohesive technological environment
Actively participate in stakeholder meetings and regular discussions with the technical team to facilitate effective communication and project alignment
Develop and maintain comprehensive project documentation, encompassing use cases, functional specifications, and intricate workflow diagrams
Lead and support the testing phase by formulating and executing test scenarios, meticulously documenting test results, and ensuring the accuracy and efficacy of the system
Contribute to user training and extend support during the implementation phase, ensuring smooth user adoption and system utilization

Your skills & qualifications

Bachelor’s Degree in appropriate field of study
Minimum of 1 year of experience as a Business Analyst
Proficiency in using Google Office Suite, Figma, Draw.io, Balsamiq, and collaboration tools such as Jira, Confluence, or Trello
High-level skills in business process mapping, workflow analysis, and system testing methodologies
Outstanding written and verbal communication skills, with the ability to convey complex technical concepts clearly and concisely
Detail-oriented with strong analytical, organizational, and time management skills

PREFERRED SKILLS

Understanding of manufacturing processes and concepts
Familiarity with Manufacturing Execution Systems (MES) or other related software
Familiarity with production workflows, materials planning, and quality control within a manufacturing environment
Knowledge of key performance indicators (KPIs) relevant to MES, such as OEE (Overall Equipment Effectiveness) and cycle time
Ability to interpret and analyze data related to manufacturing operations using SQL
Experience with SaaS or PaaS solutions