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.