OEX Intelligence Engineer
The OEX Intelligence Engineer is responsible for driving data-driven decision-making across the plant by leveraging advanced analytics, visualization tools, and digital solutions. This role identifies opportunities to improve OEE and GCC performance, supports Operational Excellence initiatives, and promotes a culture of continuous improvement through actionable insights and data enablement.
What You Will Do
- Execute advanced analytics projects focused on improving OEE and GCC performance.
- Develop dashboards, reports, and visualization tools to support operational and strategic decisions.
- Generate descriptive, diagnostic, predictive, and real-time insights from manufacturing data.
- Analyze large data sets to identify trends, correlations, patterns, and improvement opportunities.
- Lead workshops and cross-functional problem-solving activities using data-driven methodologies.
- Support the plant digitalization roadmap through analytics and data integration initiatives.
- Collaborate with Production, Quality, Engineering, and Operations teams to solve business challenges.
- Train and coach employees on data visualization tools, analytics, and effective use of data.
- Support Daily Management System (DMS) processes through reporting, analytics, and data storytelling.
- Promote Operational Excellence tools and continuous improvement initiatives throughout the plant.
- Ensure data integrity, security, and governance standards are maintained.
- Provide analytical support and recommendations to plant leadership.
What Will Help You Succeed
- Strong analytical and problem-solving capabilities.
- Experience working with large and complex data sets.
- Knowledge of SQL, Hadoop, Spark, and database management.
- Proficiency in Python, Scala, or similar programming languages.
- Experience with Business Intelligence and data visualization tools.
- Knowledge of Machine Learning and Big Data technologies.
- Ability to transform data into actionable business insights.
- Effective communication and storytelling skills.
- Ability to influence stakeholders and drive a data-driven culture.
- Experience in manufacturing, continuous improvement, or Operational Excellence environments.
- Strong collaboration skills and ability to work with cross-functional teams.
Key Competencies
- Analytical Thinking
- Problem Solving
- Continuous Improvement
- Results Orientation
- Communication
- Collaboration
- Leadership
- Innovation
- Customer Focus
- Attention to Detail
- Adaptability
- Time Management
- Coaching and Mentoring
Education
Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, Applied Mathematics, or a related field.
Experience
- Previous experience in Data Analytics, Data Science, Business Intelligence, or related analytical roles.
- Experience developing analytics solutions that support operational or business performance improvements.
Language
- Advanced English proficiency.