Data Analysis Engineer

Key Responsibilities

• Analyze blade testing data, strain gauge readings, hydraulic system performance, and measurement results to generate engineering insights.
• Collect, extract, validate, and maintain data from DAQ systems, Moog, MTS, Blatest, and other testing equipment.
• Perform data cleansing, structuring, and database management to ensure data accuracy and traceability.
• Apply statistical and engineering analysis techniques to identify trends, anomalies, failure patterns, and predictive indicators.
• Support test setup design, instrumentation planning, strain gauge application, and blade testing activities.
• Assist in operating and monitoring hydraulic systems, testing machines, and measurement equipment.
• Prepare technical reports, test summaries, and project documentation.
• Develop Power BI dashboards, automated reports, and data extraction tools to improve reporting efficiency and decision-making.
• Drive continuous improvement initiatives related to testing processes, reporting systems, and data governance.

Educational Qualification

• B.E./B.Tech, Masters in Data Science, Information Technology, or related disciplines.

Experience

• 2 to 5 years of experience in Data Analysis, Engineering Analytics, Testing, Instrumentation, or related domains.

Technical Skills

• Python Programming
• Power BI
• Advanced Excel
• Visual Basic
• Machine Learning Fundamentals
• Statistical Data Analysis
• Data Acquisition Systems (DAQ)
• CAD/Simulation Tools
• Testing & Instrumentation Systems

Preferred Certifications

• Power BI
• Advanced Excel
• Solid Edge or equivalent CAD software