Data Analytics Engineer

Rayong - Thailand

Monthly Salary: Not Disclosed

Posted on: 15 days ago

Vacancies: 1 Vacancy

Department:

Manufacturing

Job Summary

Description

Analyze plant utility data including electrical consumption building system performance and wastewater treatment metrics to identify patterns anomalies and trends that can optimize operational efficiency and reduce costs. This involves working with large datasets from various sources.
Develop insights into utility usage and performance by utilizing data from plant utility sources such as smart meters energy management systems SCADA systems and building management systems.
Design and implement data-driven analytical models to forecast power consumption predict utility system inefficiencies and pinpoint specific opportunities for energy reduction and cost savings.
Visualize diverse plant utility data and interpret results within the context of plant engineering and operational costs. Present findings clearly and provide actionable recommendations for improvements to stakeholders.
Collaborate closely with Plant Engineering Facilities and Maintenance teams to deploy data-driven solutions that enhance utility system reliability optimize energy usage and support seamless manufacturing processes.
Identify and implement strategies for cost reduction related to power consumption and other utility services through thorough data analysis and continuous performance monitoring.
Take responsibility for various electrical power tasks within the manufacturing plant ensuring reliable and efficient electrical operations.
Present analytical findings cost-saving opportunities and utility performance insights to both technical and non-technical stakeholders ensuring a clear understanding of how data analytics can enhance plant engineering and operational efficiency.

Responsibilities

Analyze plant utility data including electrical consumption building system performance and wastewater treatment metrics to identify patterns anomalies and trends that can optimize operational efficiency and reduce costs. This involves working with large datasets from various sources.
Develop insights into utility usage and performance by utilizing data from plant utility sources such as smart meters energy management systems SCADA systems and building management systems.
Design and implement data-driven analytical models to forecast power consumption predict utility system inefficiencies and pinpoint specific opportunities for energy reduction and cost savings.
Visualize diverse plant utility data and interpret results within the context of plant engineering and operational costs. Present findings clearly and provide actionable recommendations for improvements to stakeholders.
Collaborate closely with Plant Engineering Facilities and Maintenance teams to deploy data-driven solutions that enhance utility system reliability optimize energy usage and support seamless manufacturing processes.
Identify and implement strategies for cost reduction related to power consumption and other utility services through thorough data analysis and continuous performance monitoring.
Take responsibility for various electrical power tasks within the manufacturing plant ensuring reliable and efficient electrical operations.
Present analytical findings cost-saving opportunities and utility performance insights to both technical and non-technical stakeholders ensuring a clear understanding of how data analytics can enhance plant engineering and operational efficiency.

Qualifications

Bachelors or higher degree in Electrical Engineering Computer Science or related field.
Experience working with structured and unstructured data particularly from manufacturing environments.
Familiarity with AI/ML techniques such as decision trees logistic regression anomaly detection and predictive modeling.
Strong communication skills to explain complex technical concepts to business and operations teams.

DescriptionAnalyze plant utility data including electrical consumption building system performance and wastewater treatment metrics to identify patterns anomalies and trends that can optimize operational efficiency and reduce costs. This involves working with large datasets from various sources.Deve...

Description

Analyze plant utility data including electrical consumption building system performance and wastewater treatment metrics to identify patterns anomalies and trends that can optimize operational efficiency and reduce costs. This involves working with large datasets from various sources.
Develop insights into utility usage and performance by utilizing data from plant utility sources such as smart meters energy management systems SCADA systems and building management systems.
Design and implement data-driven analytical models to forecast power consumption predict utility system inefficiencies and pinpoint specific opportunities for energy reduction and cost savings.
Visualize diverse plant utility data and interpret results within the context of plant engineering and operational costs. Present findings clearly and provide actionable recommendations for improvements to stakeholders.
Collaborate closely with Plant Engineering Facilities and Maintenance teams to deploy data-driven solutions that enhance utility system reliability optimize energy usage and support seamless manufacturing processes.
Identify and implement strategies for cost reduction related to power consumption and other utility services through thorough data analysis and continuous performance monitoring.
Take responsibility for various electrical power tasks within the manufacturing plant ensuring reliable and efficient electrical operations.
Present analytical findings cost-saving opportunities and utility performance insights to both technical and non-technical stakeholders ensuring a clear understanding of how data analytics can enhance plant engineering and operational efficiency.

Responsibilities

Analyze plant utility data including electrical consumption building system performance and wastewater treatment metrics to identify patterns anomalies and trends that can optimize operational efficiency and reduce costs. This involves working with large datasets from various sources.
Develop insights into utility usage and performance by utilizing data from plant utility sources such as smart meters energy management systems SCADA systems and building management systems.
Design and implement data-driven analytical models to forecast power consumption predict utility system inefficiencies and pinpoint specific opportunities for energy reduction and cost savings.
Visualize diverse plant utility data and interpret results within the context of plant engineering and operational costs. Present findings clearly and provide actionable recommendations for improvements to stakeholders.
Collaborate closely with Plant Engineering Facilities and Maintenance teams to deploy data-driven solutions that enhance utility system reliability optimize energy usage and support seamless manufacturing processes.
Identify and implement strategies for cost reduction related to power consumption and other utility services through thorough data analysis and continuous performance monitoring.
Take responsibility for various electrical power tasks within the manufacturing plant ensuring reliable and efficient electrical operations.
Present analytical findings cost-saving opportunities and utility performance insights to both technical and non-technical stakeholders ensuring a clear understanding of how data analytics can enhance plant engineering and operational efficiency.

Qualifications

Bachelors or higher degree in Electrical Engineering Computer Science or related field.
Experience working with structured and unstructured data particularly from manufacturing environments.
Familiarity with AI/ML techniques such as decision trees logistic regression anomaly detection and predictive modeling.
Strong communication skills to explain complex technical concepts to business and operations teams.

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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