Data Analyst

Altraize; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Altraize in Bengaluru, India, is seeking a detail-oriented Data Analyst to support manufacturing operations by collecting, analyzing, and interpreting production data. The role collaborates with production, quality, maintenance, and planning teams to identify trends and drive data-driven decisions.

The ideal candidate has a Bachelor's degree in a related field and 2–5 years of manufacturing data analysis experience, with strong SQL, Excel, and BI skills (Power BI/Tableau) and familiarity with

Qualifications

• Bachelor's degree in a related field.
• 2–5 years of experience in data analysis, preferably in a manufacturing environment.
• Strong analytical and problem-solving skills.
• Excellent communication and presentationskills.

Responsibilities

• Collect, clean, and analyze manufacturing data from multiple sources.
• Develop dashboards and reports to monitor KPIs such as OEE and production efficiency.
• Identify trends and anomalies using statistical analysis.
• Collaborate with production, quality, maintenance, and planning teams to solve challenges.
• Perform root cause analysis for production losses and quality issues.
• Create automated reports and dashboards using BI tools.
• Support forecasting, capacity planning, and inventory analysis.
• Ensure data accuracy, governance, and consistency across systems.
• Present insights and recommendations to stakeholders and management.
• Assist in continuous improvement initiatives using Lean and Six Sigma.

Skills

Analytical thinking

Problem solving

Communication skills

Presentation skills

Education

Bachelor's degree in Data Analytics, Statistics, Computer Science, Engineering, Mathematics, Operations Management, or related field

Tools

SQL

Excel (PowerQuery, Pivot Tables, Power Pivot)

Power BI

Tableau

Python (Pandas, NumPy, Matplotlib, Seaborn) or R

ERP systems (SAP, Oracle, Microsoft Dynamics)

MES (Manufacturing Execution Systems)

Statistical analysis and data visualization

Job description

Job Summary

We are seekinga detail-orientedandanalytical Data Analystto support ourmanufacturing operationsby collecting, analyzing, and interpreting productiondata. The idealcandidate willwork closely withproduction, quality, maintenance, and supply chainteams to identifytrends, improve operationalefficiency, reduce costs, and support data-driven decision-making.

Key Responsibilities

• Collect,clean, and analyzemanufacturing and productiondata from multiplesources.
• Develop dashboards and reports to monitor KPIs such as:
  • Overall Equipment Effectiveness (OEE)
  • Production efficiency
  • Machine utilization
  • Downtime analysis
  • Scrap and rejectionrates
  • Yield and throughput
• Identify trends, anomalies, and improvementopportunities using statisticalanalysis.
• Collaborate with production, quality, maintenance,and planning teamsto solveoperational challenges.
• Perform root causeanalysis for productionlosses and qualityissues.
• Create automated reportsand dashboards usingBItools.
• Support forecasting, capacityplanning, and inventoryanalysis.
• Ensure data accuracy, consistency, and governanceacross manufacturing systems.
• Present insights andrecommendations to stakeholdersand management.
• Assistin continuous improvementinitiatives using LeanManufacturing and SixSigma principles.

Required Qualifications

• Bachelor's degree inData Analytics, Statistics, Computer Science, Engineering, Mathematics, OperationsManagement, or arelated field.
• 2–5 yearsof experience indata analysis, preferablyin a manufacturingenvironment.
• Strong analytical andproblem-solving skills.
• Excellentcommunication and presentationskills.

Technical Skills

• Advanced SQL
• Microsoft Excel (PowerQuery, Pivot Tables,Power Pivot)
• Power BI orTableau
• Python (Pandas, NumPy, Matplotlib, Seaborn) orR
• Knowledge of manufacturingERPsystems (SAP, Oracle, Microsoft Dynamics, etc.)
• Understanding of MES(Manufacturing ExecutionSystems)
• Statistical analysis anddata visualization
• Basic knowledge ofmachine learning isan advantage

Preferred Skills

• Knowledge ofLean Manufacturing andSix Sigma methodologies.
• Understanding of productionplanning and scheduling.
• Familiarity with IndustrialIoT (IIoT) andsensor data analysis.
• Experience working withlarge datasets andETL processes.
• Knowledge of SPC (Statistical Process Control).