Husky Injection Molding Systems
Data Analyst - Cloud
Skills
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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