Data Analyst for Smart Operations @ LindeIndia

Job Description

Role Overview: You have an amazing opportunity in a global organization like Linde, where the possibilities are limitless. You will have the chance to go beyond your job description and contribute towards bettering the people you work with, the communities you serve, and the world we all live in. Your role will involve analyzing operational data, supporting digital transformation, managing key applications, and contributing to AI-driven optimization across Linde's global production assets. Key Responsibilities: - Collect, clean, and analyze large datasets from industrial operations, including process data and maintenance logs. - Work with cross-functional teams to identify opportunities for process improvements and operational efficiencies. - Support the validation of machine learning models for predictive maintenance, energy optimization, and anomaly detection. - Lead and/or support the maintenance and improvement of key global applications, visualize data, and present actionable insights to business stakeholders. - Assist in building dashboards and reporting tools using platforms like Power BI or Tableau. - Collaborate closely with Data Scientists, Process Engineers, and IT teams to operationalize data-driven solutions and stay updated on digital trends in process industries to suggest innovative improvements. Qualifications Required: - Degree in Chemical Engineering, Process Engineering, or a related field, with a master's or PhD preferred. - Minimum 2 years of experience in industrial operations, process optimization, and data analytics. - Experience in the industrial gases sector or process manufacturing would be a plus. - Foundational experience in machine learning, managing and supporting SW applications, Python, Matlab, and SQL for data analysis, and data visualization tools (Power BI, Tableau, Grafana, etc.). - Strong analytical skills, experience working with large datasets, solid understanding of industrial processes and KPIs. - Excellent communication skills and ability to work in international, cross-functional teams.,

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Keyskills:   Data Analysis Digital Transformation Process Improvement Predictive Maintenance Energy Optimization Anomaly Detection Machine Learning Data Visualization Power BI Tableau Dashboards Reporting Tools Collaboration Chemical Engineering Process Engineering Process Optimization Data Analytics Python Matlab SQL Analytical Skills Communication Skills