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Temporary Data Analyst Jobs in Hawaii (NOW HIRING)

SMX

Assessments Data Scientist (Temporary)

Aiea, HI · On-site

This role focuses on transforming operational requirements into data-driven solutions through advanced analytics, machine learning models, and data visualization tools. The position operates within a ...

SMX

Assessments Data Scientist (Temporary)

Aiea, HI · On-site

$103K - $125K/yr

This role focuses on transforming operational requirements into data-driven solutions through advanced analytics, machine learning models, and data visualization tools. The position operates within a ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

Temporary Other Conditions: Lecturer applicant pool for Academic Year 2026 - 2027. Positions are ... analysis with an equivalency statement from an agency having membership with the National ...

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

Temporary Other Conditions: Lecturer applicant pool for Academic Year 2026 - 2027. Positions are ... analysis with an equivalency statement from an agency having membership with the National ...

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All JobsData Analyst JobsTemporary Data Analyst JobsTemporary Data Analyst Jobs in Hawaii

Temporary Data Analyst information

See Hawaii salary details

$35.3K

$85.9K

$141.3K

How much do temporary data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for temporary data analyst in Hawaii is $85,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $100,800.00 per year, depending on experience, location, and employer.

What types of projects and tasks can a temporary data analyst expect to work on during a typical assignment?

As a Temporary Data Analyst, you'll often be brought in to support short-term projects such as cleaning and organizing large datasets, generating routine or ad-hoc reports, or assisting with data migration efforts. You may also be tasked with analyzing trends, creating data visualizations, or providing insights to help teams make data-driven decisions. The work environment is usually fast-paced, with tight deadlines and close collaboration with permanent analysts, project managers, or business stakeholders to quickly deliver actionable results.

What is the difference between Temporary Data Analyst vs Data Scientist?

AspectTemporary Data AnalystData Scientist
CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; advanced certifications
Work EnvironmentContract roles, short-term projects, business officesLong-term projects, research environments, tech companies
Employer & Industry UsageBusinesses seeking quick data insights, consulting firmsTech firms, research institutions, large enterprises
Search & Comparison IntentLooking for temporary data roles, entry-level opportunitiesSeeking advanced data roles, career growth

The main difference between a Temporary Data Analyst and a Data Scientist lies in their roles, experience, and project scope. Temporary Data Analysts typically handle short-term projects with basic data analysis skills, while Data Scientists work on complex models and long-term research. Both roles are essential in data-driven industries, but they differ in experience level and responsibilities.

What are temporary jobs for a data analyst?

As a temporary data analyst, you analyze information to help solve problems ranging from sales figures to social media interactions to brand awareness. In this temporary position, you work with one client or employer on one project at a time as part of a contract. You might work with businesses, tech companies, government organizations, health care facilities, or educational institutes. Your responsibilities are to gather data and statistics and create reports for distribution. You typically use Excel and various data sources to analyze and update information. Other duties include performing data entry and supporting members of the analyst team as needed.

What are the key skills and qualifications needed to thrive as a temporary data analyst, and why are they important?

To thrive as a Temporary Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies enable quick adaptation, accurate analysis, and clear reporting, which are crucial for delivering results within limited project timelines.

What is a temporary data analyst?

A Temporary Data Analyst is a professional hired for a limited period to help organizations collect, process, and interpret data. They often assist with short-term projects, data clean-up, or to fill in during staff absences. Their responsibilities include analyzing datasets, creating reports, and providing actionable insights to support business decisions. Temporary Data Analysts typically have strong analytical skills, proficiency in data tools, and the ability to quickly adapt to new environments.
More about Temporary Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Hawaii? The most popular types of Data Analyst jobs in Hawaii are:
What are popular job titles related to Temporary Data Analyst jobs in Hawaii? For Temporary Data Analyst jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Temporary Data Analyst jobs in Hawaii look for? The top searched job categories for Temporary Data Analyst jobs in Hawaii are:
What cities in Hawaii are hiring for Temporary Data Analyst jobs? Cities in Hawaii with the most Temporary Data Analyst job openings:
Temporary Data Analyst jobs near you
Infographic showing various Temporary Data Analyst job openings in Hawaii as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $85,860 per year, or $41.3 per hour.

Assessments Data Scientist (Temporary)

SMX

Aiea, HI • On-site

Temporary

Posted 9 days ago

Job description

The Assessments Data Scientist supports SOCPAC SOJ54 initiatives by developing and implementing AI/ML-enabled capabilities to enhance operational planning and decision-making. This role focuses on transforming operational requirements into data-driven solutions through advanced analytics, machine learning models, and data visualization tools. The position operates within a fast-paced, cross-functional environment, integrating technical expertise with mission-focused problem solving to support Department of Defense priorities. Secret Clearance required, must be able to obtain TS/SCI

This position requires an active DoD Top Secret clearance with SCI eligibility which requires US citizenship for work on DoD contracts.

This position is working onsite in Aiea, Hawaii.

Essential Duties & Responsibilities

  • Develop, design, and document technical data solutions that translate operational requirements into data-driven capabilities.
  • Build, train, and implement machine learning and predictive models to support operational planning and analysis.
  • Formulate and execute end-to-end data modeling processes, including data collection, preprocessing, analysis, and delivery of analytical outputs.
  • Structure and preprocess datasets to extract actionable insights and prepare data for modeling and visualization. 
  • Develop analytical dashboards and visualization tools to support decision-making and communicate findings effectively.
  • Collaborate with cross-functional stakeholders, including planners, operators, and technical teams, to refine requirements and deliver solutions.

Required Skills & Experience 

  • Hands-on experience with development and implementation of machine learning (ML) models.
  • Basic proficiency in mathematics and statistics.
  • Experience with general-purpose programming languages (e.g., Python, C++).
  • Skilled in data manipulation, processing, and analysis.
  • Familiarity with building secure software using modern security principles.
  • Strong collaboration and interpersonal communication skills.
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics). 
  • Minimum of 5 years of hands-on experience in big data analysis and data-driven solution development.
  • Must possess an active DoD Top Secret clearance with SCI eligibility (U.S. citizenship required).

Desired Skills & Experience 

  • SOF experience
  • Joint experience
  • SOCPAC/INDOPACOM experience

#LI-AP1  #CJPOST

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