Cyber Data Analyst, Senior

Booz Allen HamiltonChantilly, VA
Remote

About The Position

As a cyber data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to uncover the critical data that advances criminal and national security investigations. As a client-facing cyber data analyst on our Civilian Agencies team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, you’ll also advise your client on what the information means and how it can be used to make an impact on cyber investigations and operations. Work with us to drive national security decisions through data insights. Join us. The world can’t wait.

Requirements

  • 8+ years of experience performing analysis on data from a variety of sources to prepare analytical reports, data summaries and responses to inquiries
  • Experience with drafting clear, concise reports on complex data analyses
  • Experience with briefing technical findings to various stakeholders
  • Experience in managing the compilation, cataloging, caching, distribution, and retrieval of large data sets
  • Experience with implementing automation in processing, presenting, or manipulating data
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor’s degree

Nice To Haves

  • Experience with data aggregation and ETL tools, such as Splunk or Cribl
  • Experience with network traffic analysis tools, such as Wireshark, Zeek, and Arkime
  • Experience with scripting languages, such as Python, PowerShell, or shell scripting
  • Experience with supervising teams

Responsibilities

  • Performing analysis on data from a variety of sources to prepare analytical reports, data summaries and responses to inquiries
  • Drafting clear, concise reports on complex data analyses
  • Briefing technical findings to various stakeholders
  • Managing the compilation, cataloging, caching, distribution, and retrieval of large data sets
  • Implementing automation in processing, presenting, or manipulating data

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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