Job Summary
Data Analyst / Data Engineer Maintenance & Reliability (Mid Level)
Key responsibilities
- Collect, structure, and analyze technical, maintenance, and operational data
- Develop dashboards, reports, and data-driven decision support tools
- Design data models and transform complex datasets into actionable insights
- Support Predictive Maintenance and Reliability initiatives through advanced analytics
- Identify performance trends, optimization opportunities, and improvement measures based on data analysis
- Work closely with business and engineering stakeholders to translate operational requirements into analytical solutions
Preferred qualifications and competencies
- Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field
- Experience in data analytics, data engineering, business intelligence, or industrial data management
- Proficiency with databases, reporting tools, analytics platforms, and data visualization solutions
- Experience with industrial, manufacturing, maintenance, or asset management data would be beneficial
- Solid analytical mindset and ability to derive actionable insights from complex datasets
- Experience working across technical and business functions
- Good English communication skills, both written and spoken
Key Responsibilities
- Collect, structure, and analyze technical, maintenance, and operational data
- Develop dashboards, reports, and data-driven decision support tools
- Design data models and transform complex datasets into actionable insights
- Support Predictive Maintenance and Reliability initiatives through advanced analytics
- Identify performance trends, optimization opportunities, and improvement measures based on data analysis
- Work closely with business and engineering stakeholders to translate operational requirements into analytical solutions
Skill Requirements
Must Have Skill
Alteryx,Azure Databricks,Azure Synapse Analytics
Good to Have Skill
Data Modelling,SAP Datasphere
Other Requirements
📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India