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Tech Stack
Tools & technologiesPandasPythonSQLTableauTypeScript
About the role
Key responsibilities & impact- 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 DevSecOps 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata visualizationstatistical analysispredictive modelingexploratory data analysisdata modelingprogramming languagesdata qualitydata integritydata requirements
Soft Skills
communicationstakeholder engagementanalytical abilitiesproblem-solvingtechnical guidance
Certifications
Top Secret (TS) clearanceSCI eligibility