Intelligence Data Analyst

Booz Allen Hamilton•Chantilly, VA

3d•$62,000 - $141,000

About The Position

As a client-facing data analyst on Booz Allen’s law enforcement team, you will work with clients to understand their questions and needs, analyze data-rich environments, and turn structured and unstructured data into actionable intelligence. You will explain what findings mean and how they can support critical law enforcement and national security priorities. The role involves research and analysis to assess and inform operators and senior leadership about evolving adversarial tactics, techniques, and procedures, and using data insights to support large-scale business and process decisions.

Requirements

At least 5 years of experience in computer science, law enforcement, or exploitation for targeted data.
At least 3 years of experience participating in projects or investigations for law enforcement or the Intelligence Community.
Experience designing, implementing, or analyzing end-to-end encryption.
Knowledge of mobile device operating systems such as iOS and Android.
Ability to identify and exploit computer network vulnerabilities.
Ability to assist in processing and analyzing information or garbled intercepts.
Top Secret clearance.
Bachelor’s degree.

Nice To Haves

Experience with NetFlow collection, cryptocurrency data, commercial records, social media data, and historical website data.
Experience with network protocols such as TCP, IP, or DNS; interpreting network traffic; Linux or Windows operating systems; and threat actors’ use of third-party encrypted applications, including analyzing encrypted data structures.
Experience developing methods to identify weaknesses in cryptographic algorithms, exploit vulnerabilities, examine packet collections, and exploit encrypted materials.
Knowledge of Python or other scripting for parsing large log files, querying APIs, and normalizing unstructured data.
Knowledge of network monitoring tools, IP analysis, PCAP data, encrypted traffic analysis, and unencrypted metadata such as packet lengths or handshake traits.

Responsibilities

Work with clients to understand their questions and information needs.
Analyze data-rich environments and transform complex data into meaningful information and actionable intelligence.
Advise clients on the meaning and potential impact of analytical findings.
Assess and inform operators and senior leadership about dynamic adversarial tactics, techniques, and procedures.
Use data insights to support large-scale business and process decisions.
Assist in processing and analyzing information or garbled intercepts.