Job Title: Senior Engineer –Data Analytics

Job Summary

The Senior Engineer – AI Automation & Data Analytics is responsible for designing, implementing, and optimizing AI-driven automation systems and advanced data analytics solutions to improve operational efficiency, productivity, and business decision-making. This role combines industrial automation expertise with data engineering, machine learning, and digital transformation initiatives.

Key Responsibilities

AI Automation

- Develop and implement AI-based automation solutions for manufacturing, production, and business processes.
- Identify automation opportunities to improve efficiency, reduce downtime, and optimize costs.
- Lead predictive maintenance, process optimization, and intelligent control projects.
- Collaborate with cross-functional teams for system integration and digital transformation.

Data Analytics

- Collect, clean, and analyze large datasets from industrial equipment, ERP systems, and operational processes.
- Develop dashboards, reports, and KPIs using tools such as Power BI, Tableau, or Python.
- Build predictive and prescriptive analytics models to support business decisions.
- Monitor production performance, quality trends, and operational metrics.
- Ensure data accuracy, governance, and security compliance.

Project Management





- Lead automation and analytics projects from concept to deployment.
- Coordinate with vendors, internal teams, and stakeholders.
- Prepare technical documentation, SOPs, and training materials.
- Provide mentorship to junior engineers and technical staff.

Required Qualifications

- Bachelor’s degree in:
- Computer Engineering
- Electrical/Electronics Engineering
- Mechatronics
- Data Science

Experience

- 2–5 years of experience in:
- Industrial automation
- AI/ML implementation
- Data analytics
- Manufacturing or process industries

Technical Skills

- Python, SQL, R, or similar programming languages
- Power BI / Tableau / Excel Advanced Analytics
- ERP/MES systems
- Cloud platforms (Azure, AWS, Google Cloud)
- Knowledge process control systems

Soft Skills

- Solid analytical and problem-solving abilities
- Leadership and team management
- Excellent communication and reporting
- Strategic thinking
- Project planning and execution

Key Performance Indicators (KPIs)

- Process automation efficiency improvements
- Reduction in downtime
- Predictive maintenance success rate
- Data reporting accuracy
- Cost savings from AI initiatives
- Project completion timelines

Preferred Certifications

- Data Analytics or AI certifications
- Six Sigma / Lean Manufacturing

📌 Deputy Engineer - PAE - SAP (South India)
🏢 Amara Raja Group
📍 South India