Vehicle Analytics Executive

JSW Group; Paithan; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JSW Group is looking for a Vehicle & Manufacturing Analytics Executive to lead analytics initiatives focused on vehicle performance, durability, and reliability. The role involves developing models using vehicle sensor data, analyzing production quality data, and collaborating across teams for process optimization.

The ideal candidate will have strong expertise in data analytics and machine learning, with proficiency in Python and SQL, hands-on experience in manufacturing datasets, and a solid understanding of automotive processes.

Qualifications

• Strong expertise in Data Analytics, Machine Learning, and AI.
• Knowledge of IoT, telematics, sensor data analytics, and vehicle systems.
• Hands-on experience with manufacturing and automotive datasets.

Responsibilities

• Lead analytics initiatives related to vehicle performance.
• Develop analytics models using vehicle sensor data.
• Analyze production and quality data to drive improvements.
• Collaborate with IT and digital teams to deploy models.

Skills

Data Analytics

Machine Learning

AI

Python

SQL

Pandas

NumPy

Scikit-learn

TensorFlow

Power BI

Tableau

Job description

Vehicle & Manufacturing Analytics Executive

Analytics Initiatives

• Lead analytics initiatives related to vehicle performance, durability, reliability, and usage patterns.
• Develop analytics models using vehicle sensor data (CAN, IoT, telematics) and manufacturing data.
• Work on predictive maintenance, fault detection, warranty analytics, and field failure analysis.
• Analyze production, quality, scrap, rework, and yield data to drive continuous improvement.
• Support plant operations with AI‑led process optimization and anomaly detection.

AI & Data Science Solutions

• Quality prediction and defect classification.
• Demand forecasting and capacity planning.
• Supplier quality and risk analytics.
• Vehicle health monitoring and diagnostics.
• Apply techniques such as regression, classification, time‑series forecasting, clustering, and deep learning.
• Collaborate with IT and digital teams to deploy models into production systems.

Data Engineering & Tools

• Work with large datasets from MES, PLM, ERP, Telematics, SCADA, and IoT platforms.
• Use analytics tools and languages including Python, SQL, R.
• Create dashboards and insights using Power BI / Tableau / other BI tools.
• Ensure data quality, governance, and standardization across analytics projects.

Business & Stakeholder Management

• Partner with Manufacturing, Quality, Engineering, R&D, Aftersales, and Supply Chain teams.
• Translate business problems into analytics use cases and measurable outcomes.
• Present insights, models, and recommendations to senior leadership.
• Mentor junior analysts and contribute to analytics capability building.

Key Skills & Competencies

Technical Skills

• Strong expertise in Data Analytics, Machine Learning, and AI.
• Proficiency in Python, SQL, and analytics libraries (Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch – preferred).
• Hands‑on experience with manufacturing and automotive datasets.
• Knowledge of IoT, telematics, sensor data analytics, and vehicle systems.
• Experience with cloud platforms (Azure / AWS / GCP – preferred).
• BI and visualization expertise (Power BI / Tableau).

Domain Knowledge

• Strong understanding of automotive manufacturing processes, vehicle systems, and quality frameworks.
• Familiarity with APQP, PPAP, SPC, Six Sigma, Lean Manufacturing principles.
• Exposure to OEM or Tier‑1 automotive environments is highly desirable.