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Senior Aircraft MXS Research/Data Analyst - Diaconia, LLC.
Data Analyst
Senior analyst responsible for collecting, cleaning, and interpreting aircraft MXS data, building predictive models, and delivering actionable insights using Python, SQL, and advanced statistical techniques.
About the role
Key Responsibilities
- Design and execute data collection protocols for aircraft MXS (Mission Execution System) datasets, ensuring data integrity and compliance with security standards.
- Clean, transform, and integrate large‑scale flight and sensor data using Python, SQL, and MATLAB.
- Develop statistical models and machine‑learning algorithms to identify performance trends, anomaly detection, and predictive maintenance opportunities.
- Create interactive dashboards and visual reports (e.g., Tableau, Power BI) to communicate findings to engineers, program managers, and stakeholders.
- Collaborate with cross‑functional teams—including engineers, pilots, and program offices—to translate analytical results into actionable recommendations.
Requirements
- Bachelor’s or higher in Aerospace Engineering, Data Science, Statistics, or a related field; 5+ years of experience in research or data analysis for aerospace or defense programs.
- Proficiency in Python (pandas, NumPy, scikit‑learn) and SQL for data manipulation and querying.
- Strong background in statistical analysis, hypothesis testing, and machine‑learning techniques applied to time‑series or sensor data.
- Experience with data‑visualization tools (Tableau, Power BI) and scientific computing environments such as MATLAB.
- Excellent communication skills and ability to work collaboratively in a multidisciplinary, security‑sensitive environment.
Skills
pythonsqlmachine learning