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Data Analyst - Cloud

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Onsite

Data Analyst - Cloud

Husky Injection Molding Systems

Data Analyst - Cloud

Skills

SQL QueriesPythonData VisualizationRData AnalysisMachine LearningAIPower BIAzure

16 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


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

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