The Data Analyst will be the bridge between raw engineering data and production-ready AI products, analyzing complex aerospace datasets to drive the development, validation, and deployment of AI-driven solutions
Job Summary
The Data Analyst will be the bridge between raw engineering data and production-ready AI products, analyzing complex aerospace datasets to drive the development, validation, and deployment of AI-driven solutions.
Responsibilities include collecting, analyzing, and interpreting large datasets, utilizing methodologies such as data collection, cleaning, analysis, visualization, and reporting to help drive informed business decisions.
The role requires a strong understanding of statistics and data analysis techniques, proficiency in programming languages and data visualization tools, and the ability to translate raw numbers into actionable recommendations for non-technical leaders.
Matching Summary
The Data Analyst will be the bridge between raw engineering data and production-ready AI products, analyzing complex aerospace datasets to drive the development, validation, and deployment of AI-driven solutions.
Skills & Requirements
Must-have
Advanced Analytics
Machine Learning
Deep Tech
Data Cleaning and Preparation
Statistical and Analytical Techniques
Data Visualization
SQL
Python or R
Tableau, Power BI
Quality Management System (QMS)
Nice-to-have
Data-driven mind-set
Collaborative mindset
Self-starter
Emerging data technologies
Aviation-specific datasets
Key Requirements
3+ years of professional experience
Bachelor’s degree in quantitative technical field
Master’s or Ph.D. in quantitative field is an advantage