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Data Analytics Associate Jobs in Hawaii (NOW HIRING)

Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ... Associate's degree and 1+ years of experience with data engineering, including application or ...

Data Engineer

Honolulu, HI · On-site

$77K - $176K/yr

Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ... Associate's degree and 1+ years of experience with data engineering, including application or ...

Data Engineer

Honolulu, HI · On-site

$77K - $176K/yr

Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ... Associate's degree and 1+ years of experience with data engineering, including application or ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

Supply Chain Analyst

Aiea, HI · On-site

$87K - $145K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

Required : • Active TS/SCI • Bachelor's degree (Associate's degree may be accepted with an ... analysis for identified and evolving mission requirements. Founded in 1958, the company is ...

... For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering ...

Required : • Active TS/SCI • Bachelor's degree (Associate's degree may be accepted with an ... analysis for identified and evolving mission requirements. Founded in 1958, the company is ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

The Support Associate Level III provides support to the Government staff and performs accounting ... • Perform analyses on passport cases being suspended to identify trends that may be useful in ...

The Support Associate Level III provides support to the Government staff and performs accounting ... • Perform analyses on passport cases being suspended to identify trends that may be useful in ...

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... Analyze claims and cost savings data to drive insights for reporting and product improvement

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Showing results 1-20

Data Analytics Associate information

See Hawaii salary details

$3.4K

$6.5K

$9.3K

How much do data analytics associate jobs pay per month?

As of Jul 5, 2026, the average monthly pay for data analytics associate in Hawaii is $6,535.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,933.33 and $6,966.67 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
What are the most commonly searched types of Data Analytics jobs in Hawaii? The most popular types of Data Analytics jobs in Hawaii are:
Infographic showing various Data Analytics Associate job openings in Hawaii as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,428 per year, or $37.7 per hour.
Data Scientist Level 3 with Security Clearance

Data Scientist Level 3 with Security Clearance

IntelliGenesis

Honolulu, HI • On-site

$88K - $121K/yr

Other

Medical, Life, Retirement, PTO

Posted 14 days ago


Job description

Job Duties * Employ some combination (2 or more) of the following skill areas:
  • Foundations: (Mathematical, Computational, Statistical)
  • Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
  • Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data
  • Effectively communicate complex technical information to non-technical audiences
Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only
  • Active TS/SCI Clearance and Polygraph required
Information Assurance Certification may be required Minimum of ten (10) years of relevant experience and a Bachelor’s degree or twelve (12) years of relevant experience and an Associate’s degree required.  * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Relevant experience must be two of more of the following:
  • Designing/implementing machine learning
  • Data science
  • Advanced analytical algorithms
  • Programming (skill in at least one high-level language (e.g., Python))
  • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
  • Data management (e.g., data cleaning and transformation)
  • Data mining
  • Data modeling and assessment
  • Artificial intelligence
  • Software engineering Salary Range: $88,000 - $121,000 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.