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Senior Data Analyst - Level 3Lockheed MartinUnited States
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Senior Data Analyst - Level 3

Lockheed Martin
  • US
    United States
  • US
    United States

À propos

Job ID:
722498BR
Date posted:
Apr. 15, 2026
Role Overview Senior Data Analyst – Level 3 in Lockheed Martin Aeronautics Sustainment, supporting the F‑22 program. The position spans the entire lifecycle of a big‑data solution: data profiling, database design, configuration management, governance, and integration with enterprise architecture. Responsibilities include delivering decision support for supply spur and fleet‑level performance projections, automating pipelines, maintaining dashboards, and improving operational performance.
Key Responsibilities
Work with Readiness Based Sparing Systems such as Aircraft Sustainability Model (ASM) & SPM.
Develop interactive data analytics dashboards to monitor and improve operational performance.
Analyze large datasets to identify trends, inefficiencies, and opportunities for optimization.
Conduct Root Cause Corrective Action (RCCA) investigations and recommend strategic solutions.
Build and automate data pipelines to streamline reporting and analysis processes.
Maintain and enhance existing databases and dashboards to ensure data accuracy and integrity.
Perform ad‑hoc research to support continuous improvement initiatives.
Monitor key metrics and ensure performance against defined benchmarks and KPIs.
Identify emerging data trends and recommend proactive measures to address issues before they impact performance.
Participate in customer‑level meetings, Integrated Product Teams (IPTs), and planning sessions to align technical solutions with program objectives.
What’s In It For You Flexible work schedules from onsite to remote, comprehensive benefits, and investment in your future and security.
Who You Are Curious, analytical thinker skilled in data modeling, visualization, systems integration, and big‑data environments. Comfortable with ASM/SPM, multiple projects, continuous improvement, and delivering mission‑focused results.
Basic Qualifications
Bachelor’s degree in Engineering, Computer Science, or related discipline (or equivalent experience/combined education).
Experience working with large datasets: extraction, formatting, ingestion/aggregation, and/or processing with strong analytical and statistical skills.
Proficiency with programming and data analysis tools (C++, Python, SQL).
Demonstrated project‑management experience (cost, schedule, deadlines).
Desired Skills
Understanding of F‑35 PAIR modeling and ALIS PAIR data.
Background in STEM, Operations Research, Statistics, Data Analytics, Applied Mathematics, Operations Management, Decision Sciences, Data Science, Data Engineering, Supply Chain Management.
Root‑Cause Corrective‑Action knowledge.
Experience with logistics data analysis, performance investigation, supply/maintenance.
US Military background in logistics preferable.
Experience with spares determination modeling or inventory analysis; Readiness Based Spares (RBS) experience a plus.
Excellent organizational, communication, presentation, and assertive problem‑solving skills.
Proficiency with Python, VBA, SQL, HANA, Tableau.
Experience mining SAP data such as inventory movements.
Security Clearance This position requires a government security clearance and U.S. citizenship. Clearance level: Secret.
Remote Work & Schedule Part‑time remote telework: some days remote and some days on‑site at a Lockheed Martin facility. Specific weekly schedule discussed at hiring. 4×10‑hour day schedule with 3 days off per week.
Benefits Health and life insurance, retirement plans, flexible scheduling, paid time off, and comprehensive benefits package.
Location Fort Worth, TX.
Employment Details
Experience Level:
Experienced Professional
Business Unit:
Aeronautics Company
Relocation Available:
Possible
Career Area:
Logistics
Type:
Full‑Time
Shift:
First
EEO Statement Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
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  • United States

Compétences linguistiques

  • English
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