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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in data analysis, visualization, and transformation, with a strong ability to communicate insights to both technical and non-technical stakeholders. Proficient in developing interactive dashboards and maintaining data pipelines while ensuring data quality and reliability.
Highest-signal resume keywords
Data Visualization Using KibanaData Cleaning and Transformation Using PythonData Modeling and ETL ProcessesActive TS/SCI ClearanceCurrent Security+ Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData CleaningData TransformationData ModelingETL ProcessesDashboard DevelopmentData Pipeline DevelopmentSQLPythonR
Soft Skills
Excellent Communication SkillsAttention to DetailCollaborationDocumentation Skills
Tools & Technologies
KibanaGitSelf-Service Analytics Tools
Certifications & Qualifications
Security+ Certification
Industry Keywords
Data ScienceData EngineeringBusiness IntelligenceData QualityStakeholder Engagement
Tech Stack
Tools & technologiesETLNumpyPandasPythonSQLTypeScript
About the role
Key responsibilities & impact- Gather, clean, and validate data from multiple sources
- Analyze complex datasets to identify trends, patterns, and insights
- Design and develop interactive dashboards, reports, and visualizations using Kibana
- Apply visual design principles, layout, content organization, and accessibility guidelines
- Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences
- Engage stakeholders to understand business needs, operational challenges, and data requirements
- Refine and maintain data transformation pipelines
- Develop and maintain self-service analytics tools and reusable data assets
- Document data models, business logic, transformation processes, and analytics workflows
- Collaborate with data engineers, business analysts, and stakeholders to deliver integrated data solutions
Requirements
What you’ll need- Bachelor�s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience
- Additional experience may be considered in lieu of degree
- Active TS/SCI clearance
- Willingness to complete and maintain additional customer suitability screenings throughout employment
- Current Security+ certification or higher/equivalent
- Demonstrable experience designing and building data visualizations and dashboards using Kibana
- Hands-on experience with data cleaning, transformation, and analysis using Python (pandas, numpy), SQL, or R
- Strong understanding of data modeling, ETL processes, and data pipeline development
- Ability to translate business requirements into technical solutions and actionable insights
- Excellent communication skills, with the ability to present complex data findings to diverse audiences
- Experience with version control systems such as Git and collaborative development environments
- Strong attention to detail and commitment to data quality and reliability
- Strong communication and documentation skills for collaboration and knowledge sharing
- Experience in application integration design and collaboration with virtual teams