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Entry Level Intelligence Analyst Graduate Jobs in Austin, TX

NXP Semiconductors N.V.

Data Scientist

Austin, TX · On-site

$128K/yr

... through data analytics, utilizing machine learning and artificial intelligence applications ... Position requires knowledge gained via completion of a graduate-level course, research project ...

NXP Semiconductors

Data Scientist

Austin, TX

$128K/yr

... through data analytics, utilizing machine learning and artificial intelligence applications ... Position requires knowledge gained via completion of a graduate-level course, research project ...

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Entry Level Intelligence Analyst Graduate information

See Austin, TX salary details

$40.6K

$99.2K

$153.1K

How much do entry level intelligence analyst graduate jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level intelligence analyst graduate in Austin, TX is $99,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $119,400.00 per year, depending on experience, location, and employer.

What does an entry level intelligence analyst graduate do?

An Entry Level Intelligence Analyst Graduate collects, analyzes, and interprets data to support decision-making within organizations, often in government, military, or private sectors. Their work involves researching information from various sources, identifying trends and threats, and preparing reports or briefings for senior analysts or decision-makers. They may also support ongoing investigations, contribute to risk assessments, and help develop strategies to address potential security issues. As recent graduates, they typically receive training and work under the guidance of experienced analysts to build their skills. This role is essential for ensuring that organizations stay informed about potential risks and can make strategic decisions based on timely and accurate intelligence.

What are the key skills and qualifications needed to thrive as an entry level intelligence analyst graduate?

To excel as an Entry Level Intelligence Analyst Graduate, you typically need a degree in intelligence studies, international relations, or a related field, along with strong analytical and research skills. Familiarity with data analysis software, intelligence databases, and tools such as GIS or open-source intelligence platforms is often required. Attention to detail, problem-solving ability, and effective written and verbal communication help distinguish top candidates. These skills are crucial for accurately interpreting data, producing actionable insights, and supporting informed decision-making in security or defense contexts.

What are some typical challenges faced by entry level intelligence analyst graduates during their first year on the job?

Entry level intelligence analyst graduates often encounter challenges such as adapting to the fast-paced nature of intelligence work, learning to synthesize large volumes of complex information, and developing strong analytical and communication skills. They may also need to quickly become familiar with specialized software and strict security protocols. Collaboration with experienced analysts and other departments is common, so effective teamwork and adaptability are essential for a smooth transition into the role.

What is the difference between Entry Level Intelligence Analyst Graduate vs Junior Intelligence Analyst?

AspectEntry Level Intelligence Analyst GraduateJunior Intelligence Analyst
Required CredentialsBachelor's degree in related field, internship experienceBachelor's degree, some internship or entry-level experience
Work EnvironmentGovernment agencies, defense, private security firmsGovernment agencies, defense, private security firms
Employer & Industry UsageCommonly used for recent graduates entering intelligence rolesUsed for individuals with some work experience in intelligence

The main difference is that Entry Level Intelligence Analyst Graduates are typically recent graduates with limited work experience, focusing on learning and training. Junior Intelligence Analysts usually have some practical experience and can handle more responsibilities. Both roles are common in government and security sectors, but the graduate position is more entry-focused, while the junior role requires some foundational skills.

What are popular job titles related to Entry Level Intelligence Analyst Graduate jobs in Austin, TX?

For Entry Level Intelligence Analyst Graduate jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Intelligence Analyst Graduate jobs in Austin, TX look for?

The top searched job categories for Entry Level Intelligence Analyst Graduate jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Intelligence Analyst Graduate jobs?

Cities near Austin, TX with the most Entry Level Intelligence Analyst Graduate job openings:

Entry Level Intelligence Analyst Graduate jobs near you

Applied Data Solutions Program, Machine Learning (Full-Time Opportunities)

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 7 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that's constantly learning and having fun while solving tough business problems? We'd love to talk to you if you do!
Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You'll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science. You will work with teams across Apple, using data analysis and predictive modeling techniques, to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
Description
The ADSP provides entry-level talent with practical work experience through project-based rotations on various teams within Finance. Upon completion, ADSPs move into non-rotating technical roles within Apple. We have a variety of opportunities for software engineers, data scientists, and machine learning engineers. Responsibilities may include:
• Support our business partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency.
• Work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of scalable, easy-to-use systems and tools.
• Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc.
• Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions.
• Develop self-service tools and automation to improve data engineering efficiency and self-service analytics.
• Create reporting and monitor decisioning quality to maintain operational and business metric health.
• Translate ambiguous business problems into technical solutions by working collaboratively with business partners.
• Develop, deploy, and operationally support machine-learning models that take real-time and forensic action against a variety of threats to Apple's ecosystem.
• Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.
Minimum Qualifications
Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
Proficient in at least one programming language (Python/Scala/Java preferred).
Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions.
Practical experience (acquired through work, independent projects, or academic research) with implementing data science-related applications in a programming language such as Python, Scala, or Java.
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions.
Previous Apple FDP or ADSP internship is required.
Preferred Qualifications
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
Experience with ML platform provisioning and optimization (e.g., Dataiku, Ray, GPU-based training environments).
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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