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(TS.SCI) Data Analyst

3 months ago

Springfield, United States Addison Group Full time

Position: Data Analyst - Active TS.SCI Clearance Required

Location: Springfield, VA - Fully Onsite 5 Days a Week


Are you looking for a growth opportunity for a reputable company with a positive work environment? Our client is looking for a Data Analyst to join their team. Please contact us today to discuss this opportunity


Required Qualifications:


  • Bachelor's degree or higher from an accredited college or university
  • Prefer an accredited Computer Science, Cyber Security, Information Technology, Software Engineering, Information Systems, or Computer Engineering degree, or a degree in a Mathematics or Engineering field.
  • Certification(s): IAM Level 3 - CCISO or CISM or CISSP or GSLC
  • Top Secret SCI Clearance

Job Responsibilities:


  • Analyze and define data requirements and specifications.
  • Analyze and plan for anticipated changes in data capacity requirements.
  • Develop data standards, policies, and procedures.
  • Manage the compilation, cataloging, caching, distribution, and retrieval of data.
  • Provide a managed flow of relevant information (via web-based portals or other means) based on mission requirements.
  • Provide recommendations on new database technologies and architectures.
  • Analyze data sources to provide actionable recommendations.
  • Assess the validity of source data and subsequent findings.
  • Collect metrics and trending data.
  • Conduct hypothesis testing using statistical processes.
  • Confer with systems analysts, engineers, programmers, and others to design applications.
  • Develop and facilitate data-gathering methods.
  • Develop strategic insights from large data sets.
  • Present technical information to technical and nontechnical audiences.
  • Present data in creative formats.
  • Program custom algorithms.
  • Provide actionable recommendations to critical stakeholders based on data analysis and findings.
  • Utilize technical documentation or resources to implement a new mathematical, data science, or computer science method.
  • Effectively allocate storage capacity in the design of data management systems.
  • Read, interpret, write, modify, and execute simple scripts (e.g., Perl, VBScript) on Windows and UNIX systems (e.g., those that perform tasks such as: parsing large data files, automating manual tasks, and fetching/processing remote data).
  • Utilize different programming languages to write code, open files, read files, and write output to different files.
  • Utilize open-source language such as R and apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non-parametric tests of difference, ordinary least squares regression, general line).
  • Develop and implement data mining and data warehousing programs.


Preferred Skills:


  • Ability to build complex data structures and high-level programming languages.
  • Ability to dissect a problem and examine the interrelationships between data that may appear unrelated.
  • Ability to identify basic common coding flaws at a high level.
  • Ability to use data visualization tools (e.g., Flare, HighCharts, AmCharts, D3.js, Processing, Google Visualization API, Tableau, Raphael.js).
  • Ability to accurately and completely source all data used in intelligence, assessment and/or planning products.