Senior Data Analyst with Security Clearance

Client: Defense Contractor
Title: Senior Data Analyst Duration: Direct Hire
Location: Herndon, VA
Clearance Required: Top Secret SCI Clearance
Certification(s): IAM Level 3 - CCISO or CISM or CISSP or GSLC
Description:

• Client is seeking a Data Analyst who examines data from multiple disparate sources with the goal of providing security and privacy insight. Designs and implements custom algorithms, workflow processes and layouts for complex, enterprise-scale data sets used for modeling, data mining, and research purposes.
TASKS:

• 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.
ABILITIES:

• 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, High Charts, Am Charts, 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.
REQUIREMENTS:

• 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.