Our client, a federal contractor 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.

The position is 100% onsite at the government facility in Springfield, VA. Our client is looking to onboard as a direct employee.

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

Required Skills

- Must be US Citizen due to government clearance requirement
- Active TS/SCI Clearance
- 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
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.