DATA ANALYSTS (MANUFACTURING)

Job Description: We are seeking an experienced Data Analyst with strong skills in Python, Databricks, computer vision, SQL, and Azure, combined with a solid background in manufacturing. The ideal candidate will have over 6 years of experience working with large datasets, analyzing production data, and applying advanced analytics and machine learning techniques to improve manufacturing processes.

Key Responsibilities:

• Analyze and interpret complex manufacturing data using Python, Databricks, and SQL to drive insights and optimize production processes.
• Develop and implement computer vision models for defect detection, process optimization, and quality control in a manufacturing environment.
• Collaborate with cross-functional teams to integrate data from IoT devices, sensors, and control systems into Azure-based data pipelines.
• Create visualizations and dashboards to monitor key performance indicators (KPIs) and track manufacturing performance.
• Perform data modeling, cleansing, and transformation to ensure accurate and meaningful analysis of manufacturing datasets.
• Utilize Azure cloud services to build scalable and secure data solutions for manufacturing analytics.
• Apply machine learning and predictive analytics techniques to enhance manufacturing efficiency, reduce downtime, and improve product quality.

Requirements:

• 6+ years of experience as a Data Analyst, with a focus on Python, Databricks, SQL, and Azure in manufacturing environments.
• Experience with computer vision applications in manufacturing for process monitoring and quality control.
• Strong knowledge of data analytics, statistical modeling, and machine learning techniques.
• Proven ability to work with large datasets from industrial control systems and IoT devices.

Vertical:

Technology