Manufacturing System Data Engineer
Hexcel
- Casablanca
- CDI
- Temps-plein
- Data Integration and Transformation: Perform data integration and transformation tasks to ensure data consistency, quality, and compatibility across different systems and platforms.
- Data Analysis and Modeling: Analyze large and complex datasets using statistical techniques, identify trends, patterns, and correlations, and develop models to support decision-making processes.
- AI, Machine Learning, and Predictive Modeling: Apply artificial intelligence and machine learning algorithms to develop predictive models that enable proactive decision-making and improve operational efficiency.
- Data Visualization and Communication: Create visually appealing and informative data visualizations and reports to effectively communicate insights and findings to stakeholders at all levels of the organization.
- Continuous Learning and Skill Development: Stay updated with the latest trends, techniques, and tools in data analytics and continuously enhance skills to ensure the adoption of best practices.
- Business Intelligence: Collaborate with business stakeholders to understand their requirements and provide actionable insights through data analysis, enabling informed decision-making and driving business growth.
- Collaborative Problem Solving: Work closely with cross-functional teams to identify data-related challenges, propose solutions, and collaborate on implementing data-driven solutions to address business problems.
- Data Exploration: Conduct exploratory data analysis to discover hidden patterns, trends, and insights that can add value to the organization's operations and decision-making processes.
- Data Pipeline Development: Design, develop, and maintain data pipelines to ensure the efficient and timely flow of data from various sources into the data infrastructure.
- ERP: be the plant ERP focal developing the standard and procedure related to the structure of it and managing the change once Casablanca do the roll out. Knowledge on Microsoft ERP system is a plus (AX/DX360).
- Engineering degree in Computer Science, Data Science, or a related field.
- Strong knowledge of data analysis, data modeling, and statistical techniques.
- Proficiency in programming languages such as Python, R, SQL, VBA, or similar.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Familiarity with AI and machine learning concepts and frameworks.
- Excellent problem-solving and critical-thinking skills.
- Strong communication and presentation skills.
- Ability to work collaboratively in a team environment.