Standard Job Description

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.

Basic Qualifications

• 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.

Desired Skills

• 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