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Associate Data Analyst Jobs in Hawaii (NOW HIRING)

Data Scientist

Aiea, HI

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering ... High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering ... High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

... analytics. What You Must Have ... Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant ...

Proficiency in tools such as Python, R, MATLAB, or other modeling and data analysis platforms. * High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

... analytics. What You Must Have ... Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant ...

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

... analytics. What You Must Have ... Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant ...

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Showing results 1-20

Associate Data Analyst information

See Hawaii salary details

$35.3K

$85.9K

$141.3K

How much do associate data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for associate 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 are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an Associate Data Analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

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 Associate Data Analyst jobs in Hawaii? For Associate Data Analyst jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Associate Data Analyst jobs in Hawaii look for? The top searched job categories for Associate Data Analyst jobs in Hawaii are:
Infographic showing various Associate Data Analyst job openings in Hawaii as of July 2026, with employment types broken down into 1% Locum Tenens, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $85,860 per year, or $41.3 per hour.
Enterprise Data & Analytics Analyst, Platform Engineering

Enterprise Data & Analytics Analyst, Platform Engineering

First Hawaiian, Inc.

Honolulu, HI

$70K - $125K/yr

Full-time

Posted 26 days ago


First Hawaiian Bank rating

8.2

Company rating: 8.2 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

52nd of 170 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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