Data Analyst Asc -Level 1

Job Description

Data Analyst supporting the F-35 Sustainment program. Collect, process, and analyze data to develop immersive stories that answer business questions, applying proven statistical methods to translate insights into action that drives business results.

• Support coordination and development of problem statements, modeling approaches, and ground rules and assumptions (GR&A).
• Work under guidance of a technical lead to perform analysis establishing a performance picture for Sustainment.
• Analyze fielded performance, develop solutions for forecasting, root‑cause analysis, evaluation of potential solutions, and assessment of corrective actions.
• Mine, process, and summarize data.
• Analyze large datasets, draw valid inferences, and prepare insights in narrative or visual forms, including dashboards.

From onsite to remote, we offer flexible work schedules and comprehensive benefits investing in your future and security.

• Must be able to obtain a DoD Secret Clearance to perform job duties.
• Knowledge of scripting in one or more common languages (e.g., Python and R).
• Analytical skills with experience in databases, data structures, and large dataset processing (Excel, Access, or similar tools).

• Bachelor of Science degree in Engineering or a related technical discipline (Industrial, Mechanical, Aerospace, Electrical, etc.) or equivalent.
• Statistical programming and data processing skills.
• Experience collecting and compiling datasets from disparate data sources into the required structure.
• Computer programming experience with SAS or other high‑level language.
• Ability to query databases using Structured Query Language (SQL).
• Familiarity with data visualization tools such as Tableau.
• Familiarity with MS Office tool suite.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5–30 days of the requisition posting date in order to receive optimal consideration.