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Data Analytics Jobs in Hawaii (NOW HIRING)

First Hawaiian, Inc.

Product Data Analyst

Honolulu, HI

$46K - $100K/yr

Bachelor's Degree in Business, Finance, Economics or Marketing or related field required * 1 years' experience in banking, marketing, financial sales, data analytics and/or related field required

First Hawaiian, Inc.

Product Data Analyst

Honolulu, HI · On-site

$46K - $100K/yr

Performs detailed analytics to determine trend, formulate recommendations and identify ... Minimum Qualifications (Product Data Analyst II level): * 3 years experience in banking, marketing ...

Booz Allen Hamilton

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Data Analyst The Opportunity: As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the ...

Cymertek

Data Analyst

Honolulu, HI · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics, Mathematics, Information Systems, Economics, Business Analytics, Operations Research, Finance ...

Core One

Data Scientist (INDOPACOM)

Honolulu, HI · On-site

Core One is a dynamic company focused on providing analytical, operational, and technical solutions for national security challenges. They are seeking a Data Scientist to enable advanced data ...

Atreides

HI · On-site

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 ...

National Capitol Contracting (NCC)

Be Seen First

Senior Data Scientist

Honolulu, HI · On-site

Analyze structured and unstructured data to identify trends, patterns, and actionable insights for risks, integrity, and optimized ingest. * Design, develop, and maintain interactive dashboards and ...

Markon

Data Scientist

Wahiawa, HI · On-site

$120K - $145K/yr

Develop data analytics solutions to process and analyze X14 data. * Design and automate analytic workflows to improve efficiency, scalability, and repeatability. * Implement and maintain data parsing ...

Markon

Data Scientist

Wahiawa, HI

$120K - $145K/yr

Develop data analytics solutions to process and analyze X14 data. * Design and automate analytic workflows to improve efficiency, scalability, and repeatability. * Implement and maintain data parsing ...

Markon

Data Scientist

Wahiawa, HI · On-site

$120K - $145K/yr

Develop data analytics solutions to process and analyze X14 data. * Design and automate analytic workflows to improve efficiency, scalability, and repeatability. * Implement and maintain data parsing ...

yhata

ENTERPRISE ANALYTICS ANALYST II

Honolulu, HI · On-site

$68K - $85K/yr

You will provide data-driven recommendations that support decision-making while partnering closely with the Pricing & Cost team, which owns pricing decisions. Although your initial focus will be ...

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All JobsData Analytics JobsData Analytics Jobs in Hawaii

Data Analytics information

See Hawaii salary details

$25

$56

$98

How much do data analytics jobs pay per hour?

As of Jul 14, 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.

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 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 job categories do people searching Data Analytics jobs in Hawaii look for? The top searched job categories for Data Analytics jobs in Hawaii are:
What cities in Hawaii are hiring for Data Analytics jobs? Cities in Hawaii with the most Data Analytics job openings:
Data Analytics jobs near you
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.
Enterprise Data & Analytics Analyst, Platform Engineering

Enterprise Data & Analytics Analyst, Platform Engineering

First Hawaiian, Inc.

Honolulu, HI • On-site

$70K - $125K/yr

Full-time

Posted 13 days ago

First Hawaiian Bank rating

8.0

Company rating: 8.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description

First Hawaiian Bank is currently seeking an Enterprise Data & Analytics Analyst, Platform Engineering, to join our Data Platform Delivery team.

Work Schedule:

Monday to Friday 8:00 AM to 5:00 PM (hours may vary)

Compensation:

The pay range for this role is $70,000 - $125,000/yr; commensurate with experience.

The successful candidate will be hired for the level of the position that aligns with their skill level and experience.

  • Bachelor's degree in computer science, information systems, data science, mathematics, or quantitative analysis required. 
  • Snowflake Foundation Course required
  • AWS Cloud Foundation Course required 
  • SAP Certified Application Associate - SAP BusinessObjects Web Intelligence 4.2 required 
  • Tableau Desktop Specialist or equivalent required
  • ThoughtSpot Professional or equivalent required 
    *Certifications: If not already obtained, required to obtain within 1 year of employment.

  • 2+ years of relevant work experience, preferably in business intelligence, platform administration/reporting, or data engineering roles with increasing responsibilities and data & analytics tool capabilities.

    *Required experience may be obtained concurrently. 1 year of relevant data platform experience can be substituted with higher education qualifications in the areas of concentration above.

  • Working knowledge of database constructs, report writing/visualization, and spreadsheet applications.
    Strong verbal, interpersonal and written communication skills essential to communicate with all levels of management and influencing skills to articulate, motivate and engage internal and external stakeholders. 
  • Ability to deliver presentations in front and a large group when necessary.
    Self-motivated, organized to handle multiple tasks simultaneously, ability to work independently with high level general supervision. 
  • Ability to multi-task effectively and manage multiple competing deadlines with a professional demeanor.
  • Ability to apply effective critical thinking skills towards complex problems and offer logical solutions.
  • Strong attention to detail with high levels of accuracy.
  • Ability to build trust and handle confidential matters judiciously.
  • Effective collaborator with the ability to use judgment and discretion and make decisions when required, with the ability 

Responsible for the operational management and platform quality assurance of the Enterprise Data & Analytics Platform (EDAP) and its corresponding technology toolchain.  This includes both the new technologies and capabilities as well as the transitioning legacy systems for data & analytics as appropriately identified in the FHB Enterprise Data & Analytics strategy and roadmap.

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