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Mid Level Intelligence Analyst Jobs in Hawaii (NOW HIRING)

Produce clear intelligence reports, summaries, and briefings to support analysts, operators, and ... Level 1 Qualifications * Two (2) years full-time experience performing cryptologic language ...

Develop site-level C4/Cyber Intelligence Analysis findings that feed directly into the HQ authoritative baseline and decision-support products * Document all findings in structured, machine-readable ...

Develop site-level C4/Cyber Intelligence Analysis findings that feed directly into the HQ authoritative baseline and decision-support products * Document all findings in structured, machine-readable ...

Develop site-level C4/Cyber Intelligence Analysis findings that feed directly into the HQ authoritative baseline and decision-support products * Document all findings in structured, machine-readable ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Intelligence Studies, Political Science, Data Analytics, International Relations, Computer Science, Cybersecurity, Geospatial Information ...

Showing results 41-60

Mid Level Intelligence Analyst information

See Hawaii salary details

$22.3K

$85.7K

$155.8K

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

As of Aug 8, 2026, the average yearly pay for mid level intelligence analyst in Hawaii is $85,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $107,000.00 per year, depending on experience, location, and employer.

What are some common challenges mid level intelligence analysts face when balancing multiple information sources?

Mid Level Intelligence Analysts often work with vast amounts of data from various sources, which can present challenges in verifying accuracy and prioritizing the most relevant information. Managing time effectively while maintaining high analytical standards is essential, as is adapting to shifting priorities based on organizational needs. Collaboration with colleagues from different departments, such as operations or cybersecurity, is frequent to ensure comprehensive and actionable intelligence assessments.

What is the difference between Mid Level Intelligence Analyst vs Junior Intelligence Analyst?

AspectMid Level Intelligence AnalystJunior Intelligence Analyst
Required Experience2-4 years0-2 years
CertificationsOften required or preferred (e.g., CIW, IACIS)Basic certifications or none
Work EnvironmentMore independent, complex projectsSupervised, entry-level tasks
ResponsibilitiesData analysis, report writing, supporting strategic decisionsData collection, basic analysis, assisting senior staff

The Mid Level Intelligence Analyst typically has more experience, greater responsibilities, and works more independently than a Junior Intelligence Analyst. While both roles require analytical skills and relevant certifications, the mid-level position involves handling complex projects and contributing to strategic decisions, whereas the junior role focuses on foundational tasks under supervision.

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

To thrive as a Mid Level Intelligence Analyst, you need strong analytical skills, attention to detail, and a background in intelligence studies, political science, or a related field—often supported by relevant security clearances. Familiarity with intelligence analysis software, data mining tools, and secure information systems is typically required. Excellent critical thinking, clear communication, and teamwork abilities help analysts convey complex findings and collaborate with diverse stakeholders. These skills and qualities are crucial for producing accurate intelligence assessments that inform decision-making and enhance organizational security.

What does a mid level intelligence analyst do?

A Mid Level Intelligence Analyst is responsible for collecting, analyzing, and interpreting data related to security, defense, or law enforcement operations. They evaluate information from various sources to identify potential threats and provide actionable intelligence to decision-makers. Analysts often prepare reports, briefings, and presentations to communicate their findings. They may also collaborate with other analysts and agencies to ensure information is accurate and timely. Their work supports strategic planning and helps organizations respond to emerging risks.
What are the most commonly searched types of Intelligence Analyst jobs in Hawaii? The most popular types of Intelligence Analyst jobs in Hawaii are:
What are popular job titles related to Mid Level Intelligence Analyst jobs in Hawaii? For Mid Level Intelligence Analyst jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Mid Level Intelligence Analyst jobs in Hawaii look for? The top searched job categories for Mid Level Intelligence Analyst jobs in Hawaii are:
What cities in Hawaii are hiring for Mid Level Intelligence Analyst jobs? Cities in Hawaii with the most Mid Level Intelligence Analyst job openings:
Infographic showing various Mid Level Intelligence Analyst job openings in Hawaii as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,666 per year, or $41.2 per hour.

Data Scientist - Mid-Level with Security Clearance

Bluehawk, LLC

Honolulu, HI • On-site

Other

Re-posted 26 days ago


Job description

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions. This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage. Responsibilities * Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
* Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
* Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
* Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
* Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
* Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
* Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
* Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
* Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
* Apply experimental design principles to test hypotheses and evaluate intelligence processes.
* Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
* Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
* Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
* Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings. Qualifications Education * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
Required Skills * Proficiency in Python, R, SQL, or similar programming languages.
* Experience with data visualization platforms such as Power BI or Tableau.
* Strong understanding of statistical techniques and modeling approaches.
* Foundational knowledge of AI/ML concepts and applications.
* Experience working with relational and/or NoSQL databases.
* Familiarity with cloud-based big data technologies.
* Ability to explain complex technical findings to non-technical audiences.
* Understanding of intelligence analysis processes and mission requirements.
* Experience working with structured and unstructured datasets in complex environments.
Experience * Minimum of 3 to 5 years of experience in data science, analytics, machine learning, or related technical fields.