The selected candidate will perform data analysis in support of F-35 Sustainment and will be responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.
- Apply modeling & simulation technical principles, concepts and techniques to assess Performance Based Logistics (PBL) metrics using commercial, government, and LM developed tools.
- Support coordination and development of problem statements, modeling approaches and ground rules and assumptions (GR&A).
- Work under the guidance of a technical lead to perform analysis to establish a total cost to performance picture for Sustainment.
- Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
- Mine, process, and summarize data.
- Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions.
- Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards.
- Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
- Bachelors of Science degree in Engineering or a related technical discipline (Industrial, Mechanical, Aerospace, Electrical, etc.) Physics, Data Science, Data Analysis, or Mathematics (use of stochastic and deterministic data models) or related technical disciplines with an emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods to apply to business and risk management problems.
- Must be able to obtain a DoD Secret Clearance to perform job duties.
- Knowledge of scripting (one or more common languages e.g., Python and R), statistics (descriptive and inferential), data munging, and data visualization.
- Analytical skills and understanding of system databases, data elements and/or application software solutions to optimize data gathering and analysis.
- Knowledge of conducting performance and cost analysis, database systems, descriptive statistics and exploratory data analysis.
- Computer programming experience with SAS or other high-level language.
- Ability to query databases using Structured Query Language (SQL).
- Familiar with data visualization tools such as Tableau.
- Some experience in data structures and hierarchies.
- Some experience in collecting and compiling datasets from disparate data sources into the required data structure.
- Knowledge or experience with SAP/HANA.
- Some experience managing data quality and configuration control.
- Coursework or previous experience analyzing supply chain networks.
- Ability to interact with the customer to work through data issues and discrepancies.
- Excellent written and verbal communication skills.
- Ability to work in a collaborative and team-based environment.
- Knowledge or experience in project management.
- Knowledge or experience in continuous improvement.
Pay Information
Full-Time Salary Range: $58200.00 - $108200.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Bachelor of Science degree in engineering, physics, data science, data analysis, mathematics, or a related technical discipline with emphasis on modeling, data manipulation, and mathematical or statistical methods
- Must be able to obtain a Department of Defense Secret clearance
- Knowledge of scripting using Python, R, or another common programming language
- Knowledge of descriptive and inferential statistics
- Knowledge of data munging and data visualization
- Analytical skills and understanding of system databases, data elements, or application software solutions
- Knowledge of performance and cost analysis, database systems, descriptive statistics, and exploratory data analysis
- Computer programming experience with SAS or another high-level language
- Ability to query databases using SQL
- Familiarity with Tableau or similar data visualization tools
- Experience with data structures and hierarchies
- Experience collecting and compiling datasets from disparate sources
- Knowledge or experience with SAP/HANA
- Experience managing data quality and configuration control
- Coursework or experience analyzing supply chain networks
- Ability to work with customers to resolve data issues and discrepancies
- Excellent written and verbal communication skills
- Ability to work collaboratively in a team-based environment
- Knowledge or experience in project management
- Knowledge or experience in continuous improvement
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
