ZipRecruiter

Log In

1

Data Analyst Jobs in Hawaii (NOW HIRING)

DatamanUSA, LLC

Data Analyst

Honolulu, HI · On-site

DatamanUSA is looking for a Data Analyst for our direct client based in HI. This is a great opportunity for someone who is a quick learner with excellent people skills. Job Details: Job Title: Data ...

Cymertek

Data Analyst

Honolulu, HI · On-site

Data Analyst LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and analytical Data Analyst ...

First Hawaiian, Inc.

Product Data Analyst

Honolulu, HI

$46K - $100K/yr

First Hawaiian Bank is currently seeking a Product Data Analyst to join the Deposit & Lending Services Department. Work Schedule: Monday to Friday 8:00 AM to 5:00 PM (hours may vary) Compensation:

First Hawaiian, Inc.

Product Data Analyst

Honolulu, HI · On-site

$46K - $100K/yr

First Hawaiian Bank is currently seeking a Product Data Analyst to join the Deposit & Lending Services Department. Work Schedule: Monday to Friday 8:00 AM to 5:00 PM (hours may vary) Compensation:

Atreides

HI · On-site

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 ...

next page

Showing results 1-20

All JobsData Analyst JobsData Analyst Jobs in Hawaii

Data Analyst information

See Hawaii salary details

$35.3K

$85.9K

$141.3K

How much do data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for 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 is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about 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 Data Analyst jobs in Hawaii? For Data Analyst jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Hawaii look for? The top searched job categories for Data Analyst jobs in Hawaii are:
What cities in Hawaii are hiring for Data Analyst jobs? Cities in Hawaii with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Hawaii as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 76% In-person, 8% Hybrid, and 16% Remote job distribution, with an average salary of $85,860 per year, or $41.3 per hour.
Data Analyst

Data Analyst

DatamanUSA, LLC

Honolulu, HI • On-site

Other

Posted 11 days ago

Job description

DatamanUSA is looking for a Data Analyst for our direct client based in HI. This is a great opportunity for someone who is a quick learner with excellent people skills.

Job Details:
Job Title: Data Analyst
Location: Honolulu, HI
Duration: 12 months


Key Responsibilities:
*) Build and optimize ETL / ELT pipelines that ingest high-volume Call Center, chatbot, and case management data into BigQuery from Google CES CCaaS / CCAIP, ServiceNow, and related source systems.
*) Maintain dataset structures, data quality controls, and processing reliability across BigQuery and supporting cloud data infrastructure.
*) Create curated data models and semantic-ready tables that support Looker dashboards, operational scorecards, and downstream analytics use cases.
*) Implement and maintain integrations for reporting tools, including BigQuery, Looker, GA4, where applicable, and CCAIP reporting APIs for programmatic access to interaction and agent metrics.
*) Support governed data access, metadata standards, and pipeline automation to improve reporting timeliness, auditability, and reuse across the program.

Key Qualifications:
*) Proficient in SQL, Python, ETL tools, cloud platforms, BigQuery, and reporting integrations such as Looker, GA4, and contact center reporting APIs.
*) Ability to support reporting requirements, data validation, and operational analytics needs across business and technical stakeholders.

Apply