
Data Analyst
18 hours ago
Role & responsibilities
- Collect, process, and analyze production, quality, maintenance, and supply chain data.
- Develop dashboards, reports, and visualizations to monitor KPIs (Production, OEE, Rejection %, Downtime, Inventory, etc.).
- Identify trends, patterns, and insights to support process improvements and lean manufacturing initiatives.
- Collaborate with production, quality, SCM, and finance teams to provide data-driven recommendations.
- Maintain and optimize databases, ERP/MES data, and reporting systems.
- Support predictive and preventive maintenance analysis using equipment performance data.
- Conduct root cause analysis for process deviations, defects, and downtime.
- Assist management in strategic planning with data-based insights and forecasting models.
- Ensure data accuracy, security, and compliance with company standards.
Key Skills & Competencies:
- Strong knowledge of data analytics, statistics, advanced excel and reporting.
- Proficiency in MS Excel, Power BI / Tableau, SQL (knowledge of Python/R preferred).
- Familiarity with ERP/MES systems (SAP, Oracle, etc.) in manufacturing.
- Ability to analyze large datasets and present insights clearly.
- Knowledge of lean manufacturing concepts and KPIs.
- Strong problem-solving and critical-thinking skills.
- Good communication and presentation skills.
Qualifications & Experience:
- Bachelors degree in Engineering, Statistics, Mathematics, Computer Science, or related field.
- 25 years of experience in data analytics, preferably in a manufacturing/automobile/engineering industry.
- Hands-on experience with BI tools and ERP data integration is an advantage.
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