Here’s a polished and organization-specific description tailored to Knight Aerospace, incorporating your provided qualifications and responsibilities while aligning with Knight’s focus on aviation, modular medical units, and aerospace innovation.
Data Analyst Intern – Knight Aerospace (San Antonio, TX)
Knight Aerospace, a global leader in advanced medical transport and modular aircraft solutions, is seeking a Data Analyst Intern to support our growing innovation and operations teams. This internship offers a hands-on opportunity to turn raw data into actionable insights that help advance aerospace engineering, manufacturing efficiency, and product innovation.
Key Responsibilities
Analyze production, logistics, and operational data to identify performance trends, inefficiencies, and improvement opportunities.
Work with cross-functional teams—including engineering, supply chain, and R&D—to develop data models that support business decisions.
Use machine learning and data mining techniques to uncover patterns in large datasets, such as maintenance records or supply chain data.
Develop and test hypotheses to evaluate new strategies, projects, or technology implementations.
Utilize tools such as Python, R, and SQL to clean, process, and visualize complex datasets.
Create predictive or descriptive models (e.g., clustering, regression, or text analytics) to support forecasting and decision-making.
Prepare reports, dashboards, and visualizations to communicate key findings and present recommendations to technical and non-technical stakeholders.
Stay current with data science methodologies, tools, and best practices to improve modeling and analysis capabilities.
Qualifications
Pursuing a degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or related field.
Strong analytical and problem-solving skills, with attention to detail and data accuracy.
Experience with Python, R, or SQL; familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
Understanding of machine learning techniques such as clustering, regression, and natural language processing.
Ability to communicate complex data insights clearly and effectively to diverse audiences.
Interest in the aerospace or advanced manufacturing industry is preferred.
Internship Details
Location: San Antonio, TX (HQ office, near Port San Antonio)
Compensation: Paid internship
This position is ideal for a student passionate about combining data science and aerospace innovation to improve safety, efficiency, and impact in critical missions worldwide.
Requirements
Contact: Monica Zapata