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Data Analyst - Advanced

Rividium
Full-time
Remote friendly (Chantilly, Virginia, United States)
Worldwide

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