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SME Data Analyst

Job in Alexandria, Fairfax County, Virginia, 22350, USA
Listing for: Leidos LLC
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

This Department of War enterprise data and analytics program delivers mission‑critical capabilities that enable leaders across the Department to make faster, better‑informed decisions using trusted data dos Digital Modernization sector seeks an experienced SME Data Analyst to support delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.

Responsibilities
  • Lead development and execution of advanced data analysis and analytical methodologies to support mission and enterprise use cases.
  • Analyze large, complex datasets to identify trends, patterns, anomalies, and insights.
  • Develop and maintain data models, analytical frameworks, and statistical analyses to support decision‑making.
  • Design and deliver dashboards, visualizations, and reports to communicate analytical findings.
  • Collaborate with data engineers, data scientists, and AI/ML engineers to support integrated data solutions.
  • Define data requirements and ensure data quality, consistency, and integrity across systems.
  • Support development of enterprise data products and analytics capabilities.
  • Apply advanced analytics techniques including statistical analysis, predictive modeling, and exploratory data analysis.
  • Support integration of analytics into Dev Sec Ops  pipelines and operational workflows.
  • Provide technical guidance and recommendations to improve data analysis processes and outcomes.
  • Support customer use case analysis and translate analytical findings into actionable recommendations.
  • Develop and maintain documentation for analytical methods, data sources, and reporting processes.
  • Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives.
Basic Qualifications
  • Active Top Secret (TS) clearance with SCI eligibility.
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related technical discipline and 12 years of relevant experience; or Master’s degree in a related field and 10 years of relevant experience.
  • Minimum of 8 years of experience in data analysis, data visualization, or a related field.
  • Extensive experience performing data analysis in enterprise or mission environments.
  • Experience with programming languages such as Python, R, or SQL.
  • Experience with data analysis and visualization tools (e.g., Pandas, Tableau, Power BI, or similar).
  • Experience analyzing structured and unstructured datasets at scale.
  • Strong understanding of statistical analysis, data modeling, and analytical techniques.
  • Experience operating within SAFe or Agile frameworks supporting enterprise systems.
  • Excellent communication and stakeholder engagement skills.
  • Strong analytical and problem‑solving abilities.
Preferred Qualifications
  • Active TS/SCI clearance.
  • Experience supporting DoD or Federal data analytics programs.
  • Experience working with data platforms, data lakes, or cloud‑based analytics environments.
  • Experience supporting AI/ML workflows or predictive analytics initiatives.
  • Experience with big data technologies (e.g., Spark, Hadoop, or similar).
  • Relevant certifications in data analytics, data science, or visualization tools.
  • Experience with cloud‑based data platforms and services.
  • Knowledge of DoD mission partner priorities and needs.
  • Experience with service catalog management and service level agreements.
  • Experience with knowledge management systems and AI capabilities for knowledge generation.
Pay Range and Compensation

Pay Range: $ – $. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation. Additional factors considered in extending an offer include responsibilities, education, experience, knowledge, skills, and abilities, internal equity, alignment with market data, applicable bargaining agreements, and other law.

Employment Benefits

Competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement plans.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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