Data Analyst - Cloud

Husky Injection Molding Systems; Chennai District; Presencial; INR 1.800.000 - 2.800.000; Jornada completa

Descripción de la vacante

Husky Injection Molding Systems seeks a Data Analyst to integrate IIoT data within the Advantage+Elite monitoring ecosystem, leveraging cloud platforms and analytics tools to drive action from real-time datasets. You will apply statistical methods, develop new data sources, and enable AI-augmented analytics for predictive monitoring and process optimization across customer plants.

The role requires 5+ years of design experience in a relevant industry with strong SQL/Kusto, Python/R skills and

Formación

• 5+ years of experience in a relevant industry.
• Strong SQL/Kusto and Python/R programming skills for data manipulation and analysis.
• Experience with cloud platforms (Azure) and cloud-native data services.
• Proficiency in ETL workflows, data warehousing and BI tools like Power BI.
• Sold understanding of statistics, experimental design and predictive modeling.
• Excellent analytical thinking, problem solving capability, and attention to detail.
• Strong communication and presentation skills to convey complex insights effectively.
• Familiarity with machine learning and AI-Driven analytics

Responsabilidades

• Apply statistical, analytical and algorithmic techniques to uncover trends, patterns and anomalies of complex datasets.
• Drive consistency in the application of data management system through standardized reporting, analysis, and data visualization.
• Partner with operational leadership to identify opportunities for improvement, develop data-driven execution plans and implement those strategies.
• Design and leverage the development of new data sources and tools to provide new perspectives of performance monitoring and identify new opportunities for continuous improvement.
• Identify opportunities to deploy AI-augmented analytics for predictive monitoring and process optimization.
• Adherence to data privacy, security and regulatory standards.

Conocimientos

SQL

Kusto

Python

R

AI analytics

Educación

Bachelor's degree in Software Engineering or Computer Science

Herramientas

Azure

Power BI

Descripción del empleo

The Data Analyst role focuses on the integration, collection, and analysis of IIoT (Industrial Internet of Things) data within the Advantage+Elite monitoring ecosystem. By leveraging cloud platforms, modern analytics tools and AI driven insights, the Data Analyst facilitates operational excellence across customer plants while driving actional decisions from complex, real-time datasets.

Key Responsibilities

• Apply statistical, analytical and algorithmic techniques to uncover trends, patterns and anomalies of complex datasets
• Drive consistency in the application of data management system through standardized reporting, analysis, and data visualization.
• Partner with operational leadership to identify opportunities for improvement, develop data-driven execution plans and implement those strategies.
• Design and leverage the development of new data sources and tools to provide new perspectives of performance monitoring and identify new opportunities for continuous improvement.
• Identify opportunities to deploy AI-augmented analytics for predictive monitoring and process optimization.
• Adherence to data privacy, security and regulatory standards.

Education:

• Bachelors degree or higher in Software Engineering, Computer Science or a related quantitative field.

Requirements:

• 5+ years of design experience in a relevant industry.
• Strong SQL/Kusto and Python/R programming skills for data manipulation and analysis
• Experience with cloud platforms (Azure) and cloud-native data services.
• Proficiency in ETL workflows, data warehousing and BI tools like Power BI
• Sold understanding of statistics, experimental design and predictive modeling.
• Excellent analytical thinking, problem solving capability, and attention to detail.
• Strong communication and presentation skills to convey complex insights effectively.
• Familiarity with machine learning and AI-Driven analytics