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Data Analytics Jobs in Hawaii (NOW HIRING)

HI · Hybrid

$122K - $147K/yr

You may also have a strong background in both data analytics and all-source intelligence analysis. This role combines advanced technical expertise with multi-intelligence capabilities to process and ...

HI · On-site

$122K - $147K/yr

You may also have a strong background in both data analytics and all-source intelligence analysis. This role combines advanced technical expertise with multi-intelligence capabilities to process and ...

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

Title: Data Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team ... Analytic Experience: Candidate will be a part of the technical team responsible for providing ...

$135K - $160K/yr

Master's degree in operations research, Data Analytics, or a related technical discipline. * At least 3 years' experience on a senior military staff (Service HQ, Major Command, Office of the ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with ...

Overview BerryDunn is seeking a Claims Data Analyst to support Hawaii Med-QUEST's (MQD) Fraud ... Minimum one (1) year of experience in a comparable analytics, claims, payment integrity, program ...

BerryDunn is seeking a Claims Data Analyst to support Hawaii Med-QUEST's (MQD) Fraud, Waste, and ... Minimum one (1) year of experience in a comparable analytics, claims, payment integrity, program ...

New

The Claims Data Analyst will work closely with the Payment Integrity Subject Matter Expert (SME ... Minimum one (1) year of experience in a comparable analytics, claims, payment integrity, program ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with ...

Data Engineer

Honolulu, HI · On-site

$113K - $136K/yr

You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. The DoD space is ...

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. The DoD space is ...

Showing results 21-40

Data Analytics information

See Hawaii salary details

$25

$56

$98

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Hawaii is $56.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $64.42 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Hawaii? The most popular types of Data Analytics jobs in Hawaii are:
What are popular job titles related to Data Analytics jobs in Hawaii? For Data Analytics jobs in Hawaii, the most frequently searched job titles are:
What cities in Hawaii are hiring for Data Analytics jobs? Cities in Hawaii with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Hawaii as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,310 per year, or $56.9 per hour.

Hybrid (Data) Engineer/Analyst (Hawaii)

Atreides

HI • Hybrid

$122K - $147K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 26 days ago


Job description

Job Title: Data Engineer

Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly.

We are a fast-moving, high-performance startup. We value a diverse team and believe inclusion drives better performance. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous.

Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.

Position Overview: We are looking for a skilled Hybrid (Data) Engineer/Analyst (Hawaii) with a mixed background; this may include full-stack engineering, data, and DevOps to deliver automated end-to-end solutions within a cloud-native environment. You may also have a strong background in both data analytics and all-source intelligence analysis. This role combines advanced technical expertise with multi-intelligence capabilities to process and fuse data from diverse sources into actionable insights.You will collaborate closely with customers, infrastructure engineers, and data analysts to translate business and technical requirements into efficient, automated solutions that enable data-driven decision-making and operational excellence.


The role will be USINDOPACOM-focused, with an expected annual commitment of approximately 36days deployed in-theater across partner countries, including South Korea, Australia, New Zealand, Taiwan, or Japan. The ideal candidate will thrive at the intersection of data, technology, and mission, leveraging commercial data and multi-intelligence fusion to support complex operational and strategic needs.


Team Principles:

At Atreides, we believe that teams work best when they:

  • Remain curious and passionate in all aspects of our work
  • Promote clear, direct, and transparent communication
  • Embrace the 'measure twice, cut once' philosophy
  • Value and encourage diverse ideas and technologies
  • Lead with empathy in all interactions

Responsibilities:

  • Build intuitive user experiences for our customers to query, visualize and export data from data fusion engines.
  • Ensure high availability for customer facing systems, meeting strict customer availability requirements.
  • Ensure data security and implement necessary measures to protect sensitive information.
  • Apply advanced analytical techniques to process, analyze, and interpret large-scale datasets.
  • Integrate commercially available data with other intelligence disciplines to produce comprehensive intelligence.
  • Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance.
  • Provide direct support and troubleshooting on implemented systems for the customer, including after-hours on-call support on a rotating basis.
  • Document analysis design, data engineering processes, and maintain comprehensive documentation.

Required Qualifications:


  • Must have active TOP SECRET clearance with SCI eligibility.
    • Experience supporting intelligence or operational missions with digital pattern-of-life analysis.
    • Experience with MVC-style web application architecture and web server technologies like WebSockets, Nginx.
    • Skilled in geospatial visualization tools (QGIS, ArcGIS, Kepler).
    • Proficiency in SQL and Python for analytics and automation.
    • Proven multi-intelligence fusion experience (OSINT, SIGINT, HUMINT, GEOINT).
    • Strong briefing abilities for senior leaders and operational clients.
    • Excellent problem-solving skills and the ability to think quickly in a high-performance environment.
    • Effective communication skills to convey technical concepts to both technical and non-technical stakeholders.

    Compensation and Benefits:

    • Competitive salary
    • Comprehensive health, dental, and vision insurance plans
    • Flexible hybrid work environment
    • Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave

    While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.