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Intelligence analyst vs data scientist

The differences between intelligence analysts and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both an intelligence analyst and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $77,752 average annual salary of an intelligence analyst.

The top three skills for an intelligence analyst include government agencies, national security and ISR. The most important skills for a data scientist are python, data science, and visualization.

Intelligence analyst vs data scientist overview

Intelligence AnalystData Scientist
Yearly salary$77,752$106,104
Hourly rate$37.38$51.01
Growth rate3%16%
Number of jobs21,390106,973
Job satisfaction--
Most common degreeBachelor's Degree, 57%Bachelor's Degree, 51%
Average age4441
Years of experience44

What does an intelligence analyst do?

An intelligence analyst is responsible for collecting information from various sources, including security databases, law surveillance networks, past intelligence reports, geographic and mapping tools, and communication records to locate threats and prevent crime and terrorist activities. Intelligence analysts work with different national organizations to gather information on related criminal activities and determine patterns and support investigations. An intelligence analyst must be highly critical and analytical to connect data and capture enemies to ensure the public's safety and security.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Intelligence analyst vs data scientist salary

Intelligence analysts and data scientists have different pay scales, as shown below.

Intelligence AnalystData Scientist
Average salary$77,752$106,104
Salary rangeBetween $57,000 And $106,000Between $75,000 And $148,000
Highest paying CitySan Francisco, CARichmond, CA
Highest paying stateWashingtonCalifornia
Best paying companyMetaThe Citadel
Best paying industryTechnologyStart-up

Differences between intelligence analyst and data scientist education

There are a few differences between an intelligence analyst and a data scientist in terms of educational background:

Intelligence AnalystData Scientist
Most common degreeBachelor's Degree, 57%Bachelor's Degree, 51%
Most common majorCriminal JusticeComputer Science
Most common collegeYork College of PennsylvaniaColumbia University in the City of New York

Intelligence analyst vs data scientist demographics

Here are the differences between intelligence analysts' and data scientists' demographics:

Intelligence AnalystData Scientist
Average age4441
Gender ratioMale, 72.9% Female, 27.1%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 12.5% Unknown, 5.0% Hispanic or Latino, 16.0% Asian, 2.8% White, 63.0% American Indian and Alaska Native, 0.7%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage9%9%

Differences between intelligence analyst and data scientist duties and responsibilities

Intelligence analyst example responsibilities.

  • Collaborate with the ITC and J2 to offer new ideas to accomplish overall mission successes.
  • Lead development team integrating this pivotal crew position into the AF DCGS weapon system construct.
  • Recruit best-in-class suppliers, utilizing the RFP process and negotiate contracts to achieve cost improvements while meeting stake-holder needs.
  • Develop, coordinate, and manage OSINT products by using a team of local-national subject matter experts throughout the AO.
  • Lead RFx process gathering functional requirements, identifying potential suppliers, and executing bidding, evaluation, and supplier selection.
  • Communicate with higher level echelons to distribute and manage non-organic ISR assets.
  • Show more

Data scientist example responsibilities.

  • Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
  • Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
  • Perform cross-validation-test on linear regression model of data using scikit-learn.
  • Develop python base statistical visualization to provide insights of fuzzy social media data.
  • Show more

Intelligence analyst vs data scientist skills

Common intelligence analyst skills
  • Government Agencies, 8%
  • National Security, 8%
  • ISR, 6%
  • Combat, 6%
  • Intelligence Analysis, 5%
  • Intelligence Community, 5%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

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