Staff Data Analyst - Level 4

Lockheed Martin•Fort Worth, TX

6h•Hybrid

About The Position

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. What’s In It For You: 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.

Requirements

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.

Nice To Haves

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, QlikView, PowerBI, or other similar tools
Experience with Discrete event simulation (DES) models that replicates the behavior of a system/process by tracking status changes over time
In depth experience with peacetime/steady state Readiness Based Sparing (RBS) optimization models
Ability to adapt business processes into automated tools
Understanding of performance metric measures or KPI reporting techniques a plus
Experience in Oracle and/or HANA
Ability to program or create a script to automate data transformations or data analysis in at least one of the following languages: Python, Microsoft VB, Microsoft VBA, R, SAS, C-Sharp, C++, Fortran, XML, Structured Query Language (SQL), Hana SQL, MatLab, Minitab, Java, or Tableau

Responsibilities

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