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Entry Level Intelligence Analyst Jobs in Tujunga, CA

Territory Rep - BioPharma

Simi Valley, CA ยท On-site

$86K - $117K/yr

Pharmaceutical Sales Representative (Specialty to entry level both available) Pharmaceutical Sales ... Utilize strong analytical and business acumen skills to identify areas of opportunities and provide ...

Territory Rep - BioPharma

Los Angeles, CA ยท On-site

$86K - $117K/yr

Pharmaceutical Sales Representative (Specialty to entry level both available) Pharmaceutical Sales ... Utilize strong analytical and business acumen skills to identify areas of opportunities and provide ...

Territory Rep - BioPharma

Los Angeles, CA ยท On-site

$86K - $117K/yr

Pharmaceutical Sales Representative (Specialty to entry level both available) Pharmaceutical Sales ... Utilize strong analytical and business acumen skills to identify areas of opportunities and provide ...

Territory Rep - BioPharma

Simi Valley, CA ยท On-site

$70 - $90/hr

Pharmaceutical Sales Representative (Specialty to entry level both available) We are seeking driven ... Utilize strong analytical and business acumen skills to identify areas of opportunities and provide ...

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Entry Level Intelligence Analyst information

See Tujunga, CA salary details

$44.1K

$107.6K

$166.1K

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

As of Sep 4, 2026, the average yearly pay for entry level intelligence analyst in Tujunga, CA is $107,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $129,500.00 per year, depending on experience, location, and employer.

What is an entry level intelligence analyst?

Entry level intelligence analysts are professionals who collect, evaluate, and interpret information to support decision-making in areas such as national security, law enforcement, or business. They use various sources, including open-source data, databases, and reports, to identify patterns, threats, or opportunities relevant to their organization. Typically, these roles require strong analytical skills, attention to detail, and the ability to communicate findings clearly. Entry level analysts often work under the supervision of more experienced staff, gaining experience as they contribute to larger intelligence projects.

What does an entry level intelligence analyst do?

An entry-level intelligence analyst works for a government agency, contractor, or law enforcement agency. In this career, your duties include working to gather and perform analysis on information. You assess data to identify threats and recommend a course of action to your superiors. In an entry-level position, your responsibilities may focus on trying to assist senior intelligence analysts by organizing raw data and selecting relevant information. Consulting firms and corporations may hire business intelligence analysts to conduct analysis and research of markets, competitors, and industry innovators.

What are the key skills and qualifications needed to thrive as an entry level intelligence analyst, and why are they important?

To thrive as an Entry Level Intelligence Analyst, you need strong analytical thinking, attention to detail, and a bachelor's degree in fields like criminal justice, international relations, or political science. Familiarity with data analysis tools, intelligence databases, and platforms such as Microsoft Excel or specialized geospatial systems is often required. Effective communication, critical thinking, and discretion are crucial soft skills for collaborating with teams and handling sensitive information. These skills and qualities are vital for accurately interpreting data, supporting decision-making, and maintaining security standards in intelligence work.

What are some common challenges faced by entry level intelligence analysts, and how can they be overcome?

Entry level intelligence analysts often face the challenge of processing large volumes of complex information while meeting tight deadlines. Adapting to specialized analytical tools and learning to distinguish between relevant and irrelevant data can also be demanding. Building strong relationships with colleagues and seeking mentorship can help new analysts develop critical thinking skills and gain confidence. Regularly reviewing best practices and participating in training opportunities can further ease the transition into this fast-paced role.

What job categories do people searching Entry Level Intelligence Analyst jobs in Tujunga, CA look for?

The top searched job categories for Entry Level Intelligence Analyst jobs in Tujunga, CA are:

What cities near Tujunga, CA are hiring for Entry Level Intelligence Analyst jobs?

Cities near Tujunga, CA with the most Entry Level Intelligence Analyst job openings:

Infographic showing various Entry Level Intelligence Analyst job openings in Tujunga, CA as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $107,563 per year, or $51.7 per hour.

Data & Analytics Technology Consulting Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Los Angeles, CA โ€ข On-site

$29.25 - $48/hr

Full-time

Posted 17 hours ago

Posted today


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity


As a Data & Analytics Technology Consulting - Intern, you will engage in projects that focus on learning and gaining exposure to PwC's practices, while supporting teams with basic tasks and conducting research. Within our Advisory practice, you will have the chance to work alongside experienced professionals who guide clients towards sustainable growth and competitive advantage in today's dynamic market. This role offers a unique opportunity to observe and participate in the development of data-driven solutions, leveraging data science, analytics, and artificial intelligence to drive innovation and gain a competitive edge.


As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC practices. You will perform basic tasks and conduct research while observing professional work environments. In this role at PwC, you will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team's success. This is an entry-level position where you will start to establish your personal brand, paving the way to more opportunities within the firm.


Responsibilities


- Supporting teams in data analysis and research to gain insights and contribute to project goals

- Participating in the development and implementation of data-driven solutions using tools like Power BI and Tableau

- Assisting in the creation of data visualizations to communicate complex data insights effectively

- Engaging in algorithm development and machine learning tasks to enhance data processing capabilities

- Conducting research and gathering information to support data validation and security measures

- Utilizing Microsoft SQL Server Data Tools and Python for data manipulation and analysis

- Collaborating with team members to apply predictive analytics and generate actionable insights

- Observing and learning from experienced professionals to understand data analytics methodologies and practices

- Applying a learning mindset to develop skills in data analytics and artificial intelligence technologies


What You Must Have


- Currently pursuing or have completed a Bachelor's degree

- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year


What Sets You Apart


- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems

- Preferred cumulative GPA: 3.3

- Preferred major GPA: 3.3

- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

- Developing skills in algorithm development and machine learning

- Utilizing tools like Alteryx, Power BI, and Tableau for data visualization

- Conducting analytic research to drive data-driven insights

- Applying Python programming for predictive analytics and data processing

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.