Data Analyst - Level 2

Lockheed Martin•Fort Worth, TX

2d•Hybrid

About The Position

Within the Lockheed Martin Aeronautics Sustainment organization, this Data Analyst Level 2 position will work with a talented group of technical individuals which work for the F-22 and F-35 programs. As a Data Analyst - Level 2, you will support the team through all stages of a big data solution lifecycle, including analyzing/profiling data; database design; modeling; proper configuration management processes; capability and data governance; integration of the solution elements with a larger Enterprise architecture; and sustainment of the solutions. You will assist in all aspects of Supply Spares Decision Support to include repair, spares procurement recommendations. You will hold a detailed understanding of the unique challenges of the F-22 and F-35 sustainment programs, the necessity of automation when working with big data, and the ability to simultaneously work multiple projects.

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.
Familiar with programming, creating data analysis tools, and query development (i.e. C++, Python, SQL).

Nice To Haves

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.

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.
Collaborate across internal teams and with external customers to assess and plan for spares needs that support mission readiness.
Evaluate maintenance plan changes for supportability and assess spare part compatibility for deploying aircraft.
Provide data-driven recommendations that enable quick, informed decisions by execution teams and leadership.