Data Analyst - Level 4

Overview

Description:

What You Will Be Doing:

Within the Lockheed Martin Aeronautics Sustainment organization, this Data Analyst Staff, level 4 position will work with a talented group of technical individuals supporting the F-22 program. This Sustainment Spares Modeling, Simulation, and Forecasting position 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 is responsible 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 thorough understanding of the unique challenges of the IFG sustainment customer base, the necessity of automation when working with big data, and the ability to simultaneously work multiple projects.

• Serve as technical coordinator for Readiness Based Sparing Systems such as Aircraft Sustainability Model (ASM) & Servigistics
• Develop interactive data analytics dashboards to monitor and improve operational performance
• Analyze large datasets to identify trends, inefficiencies, and opportunities for optimization
• Collaborate with leadership, IT, and cross-functional teams to drive data-driven decision-making
• Conduct Root Cause Corrective Action (RCCA) investigations and recommend strategic solutions
• Maintain and enhance existing databases and dashboards to ensure data accuracy and integrity
• Deliver in-depth reports and presentations to senior leadership with clear, actionable insights
• 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
• Review system design documents to ensure compliance with engineering principles, company standards, and contractual requirements

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security. Learn more about Lockheed Martin’s comprehensive benefits package here.

Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

• 7 Years of technical experience in Aerospace Engineering (or a related technical discipline: Industrial, Mechanical, Aerospace, Electrical, Etc), Data Science, Data Analysis, Physics, or Mathematics (use of stochastic and deterministic data models).
• Experience with/knowledge of (one or more common languages e.g., Python, SQL, and R), statistics (descriptive and inferential), data processing and/or data visualization
• Strong analytical and problem-solving skills and understanding of system databases, data elements and/or application software solutions to optimize data gathering and analysis.
• Project Management experience
• Excellent written and verbal communication skills
• Proficiency with MS Office tool suite.

• Emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods to apply to business and risk management problems.
• Experience with critical interactions and relationships between cross-functional teams (i.e. engineering, supply chain, sustainment, contracts, business management, finance, and/or aerospace program office)
• ETL/Data Miner experience in one or more of the following:
  Pentaho, SAP BODS, KNIME, Alteryx, Kettle, AWS Glue
• Experience with data analytics tools such as Tableau, Self-Service, Qlik View, Power
  
  BI, or other…