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Entry Level Intelligence Analyst Jobs (NOW HIRING)

U.S. Army

Intelligence Analysts (35M)

Houston, TX · On-site

Position is entry level. BONUSES UP TO $45K!! REQUIREMENTS: * A U.S. citizen or permanent resident ... Intelligence Gathering & Analysis BENEFITS: Financial Benefits: * Salary and Bonuses: Competitive ...

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Entry Level Intelligence Analyst information

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$154.5K

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

As of Jul 16, 2026, the average yearly pay for entry level intelligence analyst in the United States is $100,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $120,500.00 per year, depending on experience, location, and employer.

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 are entry level intelligence analysts?

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.
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Entry Level Intelligence Analyst jobs near you
Infographic showing various Entry Level Intelligence Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $100,058 per year, or $48.1 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

Formica Corporation

Cincinnati, OH

Full-time

Posted 19 days ago

Job description

We are seeking a curious, motivated, earlycareer Business Intelligence Analyst to join our growing analytics team. This role is ideal for candidates with strong academic or internship experience in data analytics, business analytics, or related fields who are excited to apply and expand their skills in real-world problem solving. While fluent in all things related to data analytics, the candidate should have a desire to understand business or operations workflows and fundamentals.

The ideal candidate brings strong academic or internship experience in business analytics, enjoys problem solving, and is eager to learn tools such as Qlik Sense and Alteryx.  They should also have a foundation in analytics concepts, an eye for detail, and a desire to understand new technologies and business processes. This role will directly support ongoing improvements to our analytics environment, including data modeling, dashboard development, and enabling self-service analytics for end users in multiple departments, with a specific focus on Operations.

Key Responsibilities

Business Intelligence Development

  • Build, maintain, and enhance dashboards and visualizations in Qlik (prior Qlik experience not required).
  • Develop repeatable data preparation workflows in Alteryx to support reporting and analysis needs.
  • Assist with creating automated reporting solutions and data pipelines.
  • Validate data logic, calculations, and visualizations for consistency and accuracy.

Data Analysis & Problem Solving

  • Perform exploratory data analysis to identify patterns, anomalies, and actionable insights.
  • Perform data validation and troubleshooting analysis to understand trends, errors, or anomalies.
  • Assist with data modeling tasks, including preparing new fields, refining dimensions, and supporting fact table logic.
  • Support analytics projects by translating business questions into analytical approaches with research, data validation, and clear documentation.

Collaboration & Communication

  • Work with cross-functional teams to understand requirements, refine user needs, and deliver data-driven recommendations.
  • Present findings in a clear, concise manner to business stakeholders.
  • Contribute to team best practices related to version control, visualization standards, and workflow management.
  • Respond to ad-hoc data and reporting requests, helping stakeholders find answers through self-service tools where possible.

Quality, Accuracy & Continuous Improvement

  • Contribute to larger BI initiatives such as data warehouse updates, dashboard redesigns, or analytics process improvements.
  • Support iterative development cycles by gathering user feedback, testing solutions, and documenting changes.
  • Proactively suggest enhancements to reports, workflows, or data structures.

 

Qualifications

Required

  • Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Statistics, or related field.
  • Academic or internship experience with data analysis, business analytics, or BI coursework.
  • Exposure to at least one visualization tool (Qlik Sense, Tableau, Power BI, Looker, etc.).
  • Familiarity with data modeling concepts (dimensions, facts, star schemas).
  • Strong analytical mindset, curiosity, and willingness to learn new tools and methods to break down ambiguous problems.
  • Foundational understanding of data modeling, structured problem solving, and analytics concepts.
  • Ability to communicate clearly with both technical and nontechnical users.

Preferred

  • Master’s degree or coursework in Business Analytics and/or major minor in Operations Management .
  • Previous BI or analytics internship or entry-level work experience.
  • Exposure to Manufacturing Operations
  • Understanding of best practices for data visualization, UX for dashboards, and data storytelling.
  • Experience working with data preparation tools (e.g., Alteryx, KNIME, SSIS).
  • Basic experience with SQL, Python, R, or another scripting/query language (coursework or project-based experience accepted).

 

Key Competencies

  • Analytical and critical thinking
  • Strong attention to detail and data accuracy
  • Ability to learn new tools and frameworks quickly
  • Problem-solving mindset and ability to break down complex issues
  • Professional curiosity and effective communication
  • Collaborative mindset and service-oriented approach
  • Comfort working with multiple stakeholders and shifting priorities

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