Senior Data Analyst - Level 3

Lockheed Martin•Fort Worth, TX

4d•$85,500 - $170,315•Hybrid

About The Position

Within the Lockheed Martin Aeronautics Sustainment organization, this Data Analyst Level 3 position will work with a talented group of technical individuals which work for the F-22 program. This Senior Data Analyst - Level 3 will support the team through all stages of a big data solution lifecycle, including analyzing/profiling data; database design, modeling, and architecture; proper configuration management processes; capability and data governance; integration of the solution elements with a larger Enterprise architecture; and sustainment of the solutions. This position assists in responsibility for all aspects of Supply Spares Decision Support to include repair, spares procurements recommendations along with fleet level performance projections in support of customer requests. An ideal candidate would have a detailed understanding of the unique challenges of the F-22 sustainment customer base, the necessity of automation when working with big data, and the ability to simultaneously work multiple projects. You are a curious, analytical thinker with a passion for turning complex data into actionable insights. With a strong foundation in data modeling, visualization, and systems integration, you’re skilled at simplifying the complicated and driving strategic decisions with clarity and precision. You’re comfortable navigating big data environments and have experience with tools like ASM or SPM, while maintaining a continuous improvement mindset. You thrive in a collaborative setting, balancing multiple projects with ease, and enjoy working closely with technical teams and customers alike. Whether it's building dashboards, automating pipelines, or identifying performance gaps, you approach every challenge with innovation, attention to detail, and a commitment to delivering mission-focused results. This position is in Fort Worth, TX Discover Fort Worth.

Requirements

Bachelors degree from an accredited college in a related discipline (Engineering, Computer Science, or another related discipline), or equivalent experience/combined education.
Experience working with large datasets – system level extraction, formatting, ingestion/aggregation, and/or processing data; demonstrated experience with statistics with strong analytical and problem-solving skills.
Demonstrated experience with programming, creating data analysis tools, and query development (i.e. C++, Python, SQL).
Demonstrated experience with project management (i.e. managing cost, schedule, and deadlines).
This position requires a government security clearance, you must be a US Citizen for consideration.

Nice To Haves

Demonstrated understanding of F-35 PAIR modeling process and ALIS PAIR data.
Background in STEM related field, Operations Research, Statistics, Data Analytics, Applied Mathematics, Operations Management, Decision Sciences, Data Science, Computer Science, Data Engineering, or Supply Chain Management.
Root-Cause Corrective-Action knowledge/ability.
Previous experience with data analysis, performance investigation in logistics disciplines, primarily supply and/or maintenance.
Prior US Military background in logistics disciplines, primarily supply and/or maintenance a plus.
Spares determination modeling or inventory analysis experience; Readiness Based Spares (RBS) experience a plus.
Excellent organizational skills, communication skills, ability to make presentations, and assertive personality in getting a response or action completed.
Experience with python, VBA or SQL, HANA and/or Tableau.
Experience mining SAP data such as inventory movements.

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.