Analyzing data to support manufacturing processes and business operations, ensuring data-driven decision making across production operations and business functions, and translating business requirements into analytical solutions.
Requirements
- Proficiency in Python, SQL, and Excel fundamentals for data extraction and manipulation.
- Basic programming knowledge for software development and system integration.
- Familiarity with Python or R for data analysis
- Knowledge of API integration and data pipeline development.
- Experience with ERP system customization and integration (Odoo, SAP, or similar).
- Knowledge of lean manufacturing principles, continuous improvement methodologies, and business process optimization.
Responsibilities
- Support ERP system development, customization, and integration using SQL, Python, XML configuration, and API development to enhance system functionality and data connectivity.
- Focus on Process improvement making things easier to work and work correctly. Identifying of edge cases where .
- Present findings to stakeholders with clear visualizations, actionable recommendations, and data-driven insights.
- Develop and maintain training materials so that members of the team can be trained and qualified for use of the ERP/other systems
- Stay updated on industry trends, new analytical tools, and advancements in data science and business intelligence.
Other
- Collaborate with cross-functional teams, including Inventory, Procurement, Engineering, Manufacturing, Quality Assurance, and Operations, to understand data requirements and develop data-driven cost reduction strategies and process optimization initiatives.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or related quantitative field.
- Excellent analytical thinking, problem-solving, and attention to detail.
- Strong communication and presentation skills with ability to translate technical findings into business insights.
- Ability to work independently, manage multiple projects, and meet deadlines in a fast-paced environment.
- Understanding of manufacturing processes, quality management systems, and business operations preferred.
- Experience working with cross-functional teams and managing stakeholder relationships.
