ECS is seeking a Senior Data Analyst to support onsite at NSWC Dahlgren, VA.
You will be part of a team of experts charged with providing support in the areas of cyber analysis and cyber development capabilities in response to Navy's and DoD's needs for Cyber Situational Awareness (SA), Cyber Command and Control (C2), Mission Assurance, and Homeland Defense. You will have the opportunity to work and grow your expertise with a team of software engineering and cyber security experts working to tackle the cyber defense issues of the modern military with creative and innovative solutions.
The Role
As a Senior Data Analyst, you will use your expertise and experience in the following areas and activities to deliver solutions and services to our customer:
- Assemble large, complex sets of data to meet functional and other requirements
- Build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
- Build large language models to create classification algorithms, assess semantic similarity, and create summarization tools
- Build requisite infrastructure for optimal extraction, transformation and loading of data from various sources
- Perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics
- Construct and perform complex database search queries in multiple databases using SQL and API interfaces
- Curate and maintain data stored in support of metrics and evaluation
- Analyze current data structure, tagging, and quality standards to discover and address anomalies
- Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools
Qualifications
- U.S. Citizenship and Active or Interim DoD SECRET clearance / TOP SECRET preferred
- Active CompTIA Security+ Certificate
- Degree in Computer Science, Engineering, or relevant degree (Or experience commensurate with the qualifications).
- Scripting experience (Python, R, Spark, and/or SQL)
- Strong experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience in querying, analyzing and working with data languages and platforms
- Critical thinker and a team player.
- Good time-management skills and problem-solving skills.
- Great interpersonal and communication skills.
