Responsible for designing and delivering repeatable digital-analytics and automated business-process solutions that improve financial planning and decision-making. The Data Analyst combines finance-domain knowledge with data science and analytics architecture to integrate data, map processes, build reusable data products, develop analytical models, and establish reliable controls. This role supports digital analytics and process improvement across F-35 Finance and Business Operations. Depending on business need, the analyst may be deployed to Financial Planning and Analysis, Business Management, Program Finance, Estimating and Pricing, or Contracts Administration teams. Work may include Long-Range Planning for Orders, Sales, Earnings, and Cash forecasts, program performance, earned value, estimates at completion, cost and pricing analysis, proposal support, contract data elements, and contract administration. The primary deliverables are process maps, automated workflows, data models and pipelines, analytical models, reusable code or workflow components, control procedures, validation records, and other repeatable work products that increase automation while enhancing decision support.
- Bachelor's degree in data science, computer science, engineering, mathematics, statistics, finance, accounting, economics, business, or a related field, or eight years of related experience in lieu of a bachelors degree.
- 3 or more years of experience in data analytics, data science, analytics engineering, business intelligence, financial analytics, data architecture, process automation, or a related discipline.
- Experience analyzing complex, multi-source data and translating results into business recommendations or management actions.
- Experience developing a reusable data product, data model, pipeline, automated workflow, analytical dataset, semantic layer, or comparable maintainable analytics solution.
- Experience using SQL or a comparable query capability and Python, R, scripting, or another programming or automation language.
- Experience with process mapping, requirements definition, data integration, APIs, data validation, forecasting, statistical analysis, or analytical modeling.
- Experience applying data governance and information protection practices, document methods and assumptions, test work products, and communicate technical findings to nontechnical audiences.
- Experience evaluating AI-assisted outputs critically, retain human accountability, and protect sensitive company or government information.
- Must be able to obtain and maintain any U.S. government security clearance required for the supported program, if applicable.
- FP&A, financial modeling, rolling forecasts, monthly outlooks, business case analysis Long Range Planning, Orders, Sales, EBIT, Cash, working capital, or related financial measures.
- Program Finance, Program Management, Earned Value Management Systems, EIA-748 concepts, CPI/SPI, variance analysis, Estimate at Completion, Estimate to Complete, cost and schedule integration, or program controls.
- Estimating and Pricing, Basis of Estimate development, cost-volume analysis, direct and indirect rates, labor and material pricing, proposal support, price analysis, or historical cost analysis.
- Contracts Administration, contract data, contract modifications, contract status, funding, invoicing, billing, compliance, audit support, FAR, DFARS, or other government-contracting concepts.
- Data architecture concepts including dimensional modeling, lakehouse or warehouse patterns, semantic models, data contracts, lineage, metadata, and API-based integration.
- Time-series forecasting, regression, anomaly detection, scenario analysis, simulation, optimization, or other applied statistical and machine-learning methods.
- Process mapping, workflow redesign, automation, control design, standard work, runbooks, continuous improvement, or business process management.
- SAP or SAP S/4HANA, Oracle EPM, Hyperion/Essbase, Deltek Cobra, Costpoint, ProPricer, or other ERP, EVMS, planning, estimating, pricing, and contract data structures.
- Git or equivalent version control, automated testing, code review, model monitoring, reproducibility, and controlled deployment or handoff.
- Generative AI or AI-assisted development tools, human-in-the-loop review, source traceability, and responsible AI practices.
- Strong communication, creative problem-solving, customer focus, continuous learning, and cross-functional collaboration.
- SQL, Python, Power Query, Alteryx, Power Automate, Databricks, Azure, SQL Server, SAP HANA, Power BI, Tableau, or comparable tools and platforms
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $161300.00 - $299500.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $145100.00 - $269500.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $129000.00 - $239600.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $116100.00 - $215700.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
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's degree in data science, computer science, engineering, mathematics, statistics, finance, accounting, economics, business, or a related field, or eight years of related experience in lieu of a bachelor's degree.
- At least 3 years of experience in data analytics, data science, analytics engineering, business intelligence, financial analytics, data architecture, process automation, or a related discipline.
- Experience analyzing complex, multi-source data and translating results into business recommendations or management actions.
- Experience developing a reusable data product, data model, pipeline, automated workflow, analytical dataset, semantic layer, or comparable maintainable analytics solution.
- Experience using SQL or a comparable query capability and Python, R, scripting, or another programming or automation language.
- Experience with process mapping, requirements definition, data integration, APIs, data validation, forecasting, statistical analysis, or analytical modeling.
- Experience applying data governance and information protection practices, documenting methods and assumptions, testing work products, and communicating technical findings to nontechnical audiences.
- Experience evaluating AI-assisted outputs critically, retaining human accountability, and protecting sensitive company or government information.
- Ability to obtain and maintain any U.S. government security clearance required for the supported program, if applicable.
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.
