<div>Born with an intense desire to offer professional and purposeful solutions to today’s business ultimatums, ALTRAIZE offers well researched alternatives to meet challenges in Human Resource Management.</div><div>Altraize sets itself ahead as it:</div><div>• Aims at reinventing itself and implementing new ideas, evolving itself into a contemporary and a forward thinking organisation.</div><div>• Believes in being professional and at the same time giving a personal touch, working closely with its clients and candidates. • Superior process and software applications to manage database, track applications, offer status.</div><div>• A fun place to work, learning and rewarding its employees a platform to execute their ideas, own up the process and a rewarding career.</div><div>• Has Knowledge of different industries, market trends, hiring trends, talent availability (spread &amp; cost),</div><div>• Aims to be a global service provider and become a world-class organization.</div>

ALTRAIZE

Job Summary
We are seeking&nbsp;a detail-oriented&nbsp;and&nbsp;analytical Data Analyst&nbsp;to support our&nbsp;manufacturing operations&nbsp;by collecting, analyzing, and interpreting production&nbsp;data. The ideal&nbsp;candidate will&nbsp;work closely with&nbsp;production, quality, maintenance, and supply chain&nbsp;teams to identify&nbsp;trends, improve operational&nbsp;efficiency, reduce costs, and support data-driven decision-making.

Key Responsibilities
<ul>
<li>
Collect,&nbsp;clean, and analyze&nbsp;manufacturing and production&nbsp;data from multiple&nbsp;sources.
</li>
<li>
Develop dashboards and reports to monitor KPIs such as:
</li>
<ul>
<li>
Overall Equipment Effectiveness (OEE)
</li>
<li>
Production efficiency
</li>
<li>
Machine utilization
</li>
<li>
Downtime analysis
</li>
<li>
Scrap and rejection&nbsp;rates
</li>
<li>
Yield and throughput
</li>
</ul>
<li>
Identify trends, anomalies, and improvement&nbsp;opportunities using statistical&nbsp;analysis.
</li>
<li>
Collaborate with production, quality, maintenance,&nbsp;and planning teams&nbsp;to solve&nbsp;operational challenges.
</li>
<li>
Perform root cause&nbsp;analysis for production&nbsp;losses and quality&nbsp;issues.
</li>
<li>
Create automated reports&nbsp;and dashboards using&nbsp;BI&nbsp;tools.
</li>
<li>
Support forecasting, capacity&nbsp;planning, and inventory&nbsp;analysis.
</li>
<li>
Ensure data accuracy, consistency, and governance&nbsp;across manufacturing systems.
</li>
<li>
Present insights and&nbsp;recommendations to stakeholders&nbsp;and management.
</li>
<li>
Assist&nbsp;in continuous improvement&nbsp;initiatives using Lean&nbsp;Manufacturing and Six&nbsp;Sigma principles.
</li>
</ul>
Required Qualifications
<ul>
<li>
Bachelor's degree in&nbsp;Data Analytics, Statistics, Computer Science, Engineering, Mathematics, Operations&nbsp;Management, or a&nbsp;related field.
</li>
<li>
2–5 years&nbsp;of experience in&nbsp;data analysis, preferably&nbsp;in a manufacturing&nbsp;environment.
</li>
<li>
Strong analytical and&nbsp;problem-solving skills.
</li>
<li>
Excellent&nbsp;communication and presentation&nbsp;skills.
</li>
</ul>
Technical Skills
<ul>
<li>
Advanced SQL
</li>
<li>
Microsoft Excel (Power&nbsp;Query, Pivot Tables,&nbsp;Power Pivot)
</li>
<li>
Power BI or&nbsp;Tableau
</li>
<li>
Python (Pandas, NumPy, Matplotlib, Seaborn) or&nbsp;R
</li>
<li>
Knowledge of manufacturing&nbsp;ERP&nbsp;systems (SAP, Oracle, Microsoft Dynamics, etc.)
</li>
<li>
Understanding of MES&nbsp;(Manufacturing Execution&nbsp;Systems)
</li>
<li>
Statistical analysis and&nbsp;data visualization
</li>
<li>
Basic knowledge of&nbsp;machine learning is&nbsp;an advantage
</li>
</ul>
Preferred Skills
<ul>
<li>
Knowledge of&nbsp;Lean Manufacturing and&nbsp;Six Sigma methodologies.
</li>
<li>
Understanding of production&nbsp;planning and scheduling.
</li>
<li>
Familiarity with Industrial&nbsp;IoT (IIoT) and&nbsp;sensor data analysis.
</li>
<li>
Experience working with&nbsp;large datasets and&nbsp;ETL processes.
</li>
<li>
Knowledge of SPC (Statistical Process Control).
</li>
</ul>