BUSINESS ANALYST

• 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

• 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, [protected info], 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