◆ Political Science

What an intelligence analyst
really does.

28 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.

28evidenced tasks
114,430in the US (2025)
$93,790median pay / year
9systems it runs on
See the 28 tasks ↓Open in the atlasThe full career map →
This is what one task looks like here
Analyze information to identify threats or vulnerabilities
Assess raw reporting and signals about the coastal smuggling route act…3 sources agree

The shape of the day

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The work, task by task

28 tasks
Hands on the work20
Analyze information to identify threats or vulnerabilities+
Assess raw reporting and signals about the coastal smuggling route active this month, fuse travel, interview and incident records to map likely threat actors and methods, then produce a threat matrix highlighting vulnerabilities to patrol units by Monday.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Write reports on their results+
Draft the intelligence report on the narcotics diversion investigation, summarise key findings, list source reliability and confidence levels, attach interview transcripts and evidence chain, and deliver the finished PDF to Commander Reyes and legal counsel by Thursday noon.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Analyze data to support investigations+
Analyze the seizure and cell-site records linked to the last three burglaries, extract patterns and anomalous communications, correlate with known subjects, and hand the analytic package with recommended follow-up to the case agent within 48 hours.
jdonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Analyze business processes and requirements+
Review current intelligence unit workflows, map information handoffs and tools, gather stakeholder needs from analysts and case agents, and produce a requirements brief with recommended process changes for the chief next Tuesday.
jdwiki2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Validate known intelligence with data from other sources.+
Cross-check the lead on Ahmed Khan by matching his travel, phone and transaction traces against police databases, open-source reporting and commercial watchlists, flag contradictions and confidence level, and attach source extracts for the record.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Identify gaps in information.+
Map what we know about the Rivera network, list unanswered questions that block prosecution or disruption, prioritise the three highest-risk intelligence gaps and propose where to task surveillance, interviews or records requests next.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Study the assets of criminal suspects to determine the flow of money from or to targeted groups.+
Trace assets tied to suspect Maria Alvarez by linking property titles, corporate filings, bank payment chains and cryptocurrency addresses, produce a transaction timeline showing funds into and out of her known fronts and indicate probable beneficiaries.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Study communication code languages or foreign languages to translate intelligence.+
Translate and annotate intercepted chat logs and coded phrases from the Enrique cell, produce plain-language meaning, note uncertain readings and recommend which bilingual witnesses or linguists to task for verification.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Watch and assess4
Grow the practice3
Keep the record1

What the work runs on

named inside the evidenced tasks
9 tasksLinuxhosts analysis tools and scripting for data processing
7 tasksApache Sparkprocesses large communication and log datasets quickly to find patterns and anomalies
5 tasksApache Hivequeries and summarizes stored operational logs and metadata to reveal process bottlenecks
3 tasksESRI ArcGISgeospatially maps incidents and movement patterns to reveal routes and hotspots
2 tasksApache Kafkastreams operational events into the analytics pipeline in real time for dashboard updates
2 tasksC++run high-performance custom parsers and pattern-matchers for language decoding tasks
2 tasksDjangoassemble and publish a structured multi-source report with access controls and versioning
2 tasksApache Hadoopstores and indexes large volumes of textual and signal data to support cross-document comparison
Browse every evidenced software task →

The same task, four heights

this page is height one
ExecuteDo today's task, with fewer mistakesyou are here → ImproveMake it easy for the next person to acceptin the atlas → DecideWork out the right move when it is unclearin the atlas → BecomeLearn the pattern so it stops coming backin the atlas →

Can AI actually do this job?

the honest answer

It can

where it genuinely helps
  • Explain the theory behind the work
  • Draft, tidy and structure your writing
  • Rehearse a hard conversation before you have it
  • Build a study plan that fits your gaps

It cannot

where it stops, completely
  • Be in the room where an intelligence analyst actually works
  • Carry the responsibility when the call is wrong — that weight stays yours
  • Notice what no one wrote down: the hesitation, the thing left unsaid
  • Live with the outcome

What the work pays

two countries, two different measures

United States

this exact occupation · BLS 2025
  • $93,790 a year — the middle: half earn more, half earn less
  • The lowest tenth earn near $55,390; the top tenth near $160,540
  • 114,430 people employed in this occupation

India

the occupation GROUP, not this job · PLFS via ILOSTAT 2025
  • ₹26,152 a month — the median for Technicians and associate professionals, the group this work sits in
  • India publishes pay by broad occupation group, so this covers many jobs besides this one. It is a shape, not a salary.
read this carefullyThese two numbers are not comparable and must not be converted into each other. One is a yearly figure for this job alone; the other is a monthly figure for a whole family of jobs. What travels between them is the pattern, not the amount: experience lifts pay almost everywhere.

Where the evidence lives

open any of it yourself
O*NETThe US Department of Labor's own record of this job9 of these tasks ESCOThe European skills and occupations register4 of these tasks Job descriptionsReal postings, in the wild14 of these tasks WikipediaHow the world describes this work8 of these tasks US Bureau of Labor StatisticsPay and employment, by occupation2025 figures UK NOS SFJ CM03Apply analytical techniques to interpret information for intelligence national standard UK NOS SFJ CM02Collect and evaluate information for intelligence analysisnational standard

Close to this work

12 nearby
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Questions people actually ask

You usually split time between reading raw data and turning it into products leaders can act on. Mornings often mean ingesting feeds — surveillance logs, intercepted comms, or business data — and checking alerts from systems like Apache Kafka or ESRI ArcGIS.

Afternoons are for analysis and writing: correlating data in Hadoop/Spark or Hive, validating leads, interviewing a source if needed, and drafting a report or map. Expect admin tasks: maintaining records, updating case files, and testing a new tool or script in Linux.

Start with ESRI ArcGIS if you will map locations and visualize assets or movement — many investigations need maps. Learn basic GIS workflows: layers, geocoding, and exporting map images for reports.

If your work handles big datasets, next learn Hadoop and Spark (Spark runs analytics faster on top of Hadoop). Practice querying and processing data; Hive helps write SQL-style queries. Knowing Linux helps run these tools.

Use AI to find patterns — for example, clustering suspicious transactions or flagging anomalous communications — but never let it decide alone. Always validate AI outputs with human review and multiple data sources, as one task is to "validate known intelligence with data from other sources."

Keep models auditable: log inputs, versions, and why a model flagged something. That helps interpret deceptive or adversarial information and supports the analyst’s judgment when presenting findings.

The Bureau of Labor Statistics (BLS) reports 114,430 employed intelligence analysts with a median annual wage of $93,790. The lowest 10% earn about $55,390 and the top 10% about $160,540 per year (BLS, 2025).

These are national figures; actual pay varies by employer (federal agency, private company) and location. Expect higher pay in cities with many agencies or contractors.

Begin with Python or JavaScript basics and a Linux command-line course; they let you run scripts and use open-source tools. Then take a short ESRI ArcGIS course for mapping and practice SQL-style queries in Apache Hive on sample datasets.

Next, learn Hadoop and Spark concepts (batch vs. stream processing) and try small projects: process logs with Spark, or set up Kafka to stream messages. Build a portfolio: a map, a cleaned dataset, and a short written intelligence product.

Compared with a data analyst, you focus less on business metrics (like quarterly growth) and more on threats, vulnerabilities, and influence — plus human sources and interviews. You still use BI tools and present visual data, but the goal is actionable intelligence, not sales dashboards.

Compared with a cybersecurity analyst, you might still analyze cyber threats, but you also handle human intelligence, financial flows, language translation, and field surveillance. You need broader judgment across technical and nontechnical sources.

Clear, concise writing that turns messy analysis into an actionable product. Many candidates are strong with tools — Hadoop, Spark, ArcGIS — but struggle to write a brief that leaders can act on.

Being able to validate intelligence with multiple sources and explain uncertainties in plain language matters. That includes saying which data came from ESRI maps, Kafka streams, or interviews, and what gaps remain.