Knight Aerospace: Data Analysis Intern

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.
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Data Analyst Intern – Knight Aerospace (San Antonio, TX)
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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.
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Key Responsibilities
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Analyze production, logistics, and operational data to identify performance trends, inefficiencies, and improvement opportunities.
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Work with cross -functional teams—including engineering, supply chain, and R&D—to develop data models that support business decisions.
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Use machine learning and data mining techniques to uncover patterns in large datasets, such as maintenance records or supply chain data.
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Develop and test hypotheses to evaluate new strategies, projects, or technology implementations.
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Utilize tools such as Python, R, and SQL to clean, process, and visualize complex datasets.
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Create predictive or descriptive models (e.g., clustering, regression, or text analytics) to support forecasting and decision -making.
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Prepare reports, dashboards, and visualizations to communicate key findings and present recommendations to technical and non -technical stakeholders.
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Stay current with data science methodologies, tools, and best practices to improve modeling and analysis capabilities.
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Qualifications
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Pursuing a degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or related field.
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Strong analytical and problem -solving skills, with attention to detail and data accuracy.
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Experience with Python, R, or SQL; familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
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Understanding of machine learning techniques such as clustering, regression, and natural language processing.
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Ability to communicate complex data insights clearly and effectively to diverse audiences.
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Interest in the aerospace or advanced manufacturing industry is preferred.
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Internship Details
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Location: San Antonio, TX (HQ office, near Port San Antonio)
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Compensation: Paid internship
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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.
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Requirements <\/h3>

Contact: Monica Zapata
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[email protected]
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