Our client is seeking a Data Analyst to examine data from multiple disparate sources with the goal of providing security and privacy insight. The successful candidate will design and implement custom algorithms, workflow processes, and layouts for complex, enterprise-scale data sets used for modeling, data mining, and research purposes.

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.

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.
• Certification(s): IAM Level 3 - CCISO or CISM or CISSP or GSLC.
• Top Secret SCI Clearance.

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.

If you are a talented and experienced Data Analyst with the required qualifications, we encourage you to apply to join our team