Data Analyst - Advanced

RiVidium Inc (dba, TripleCyber) 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 application.
• 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, 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.

Requirements:

• Bachelor 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 or IAT Level 3