Senior Data Analyst driving insights for F‑35 sustainment using Python, SQL, Tableau and advanced statistical methods to translate data into actionable business stories.
About the role
Key Responsibilities
Collect, clean, and process large datasets from multiple sources to support F‑35 sustainment initiatives.
Apply statistical techniques and machine learning models to uncover trends, patterns, and actionable insights.
Create compelling data visualizations and dashboards in Tableau that tell immersive stories for stakeholders.
Translate analytical findings into clear, concise recommendations that influence business decisions.
Identify and integrate novel data sources to enrich analyses and improve predictive accuracy.
Requirements
5+ years of data analysis experience in a complex, technical environment.
Proficiency in Python (pandas, NumPy, scikit‑learn) and SQL for data manipulation and querying.
Strong experience with Tableau or similar BI tools for dashboard development.
Solid foundation in statistical analysis, hypothesis testing, and predictive modeling.
Excellent communication skills with the ability to present technical findings to non‑technical audiences.