Data Analyst with TS/SCI- Direct Hire

3 weeks ago

Springfield, United States Elite Technical's Customer Full time

Data Analyst

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.

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