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Part Time Data Analyst Jobs in Hawaii (NOW HIRING)

OSINT Data Scientist

Honolulu, HI · On-site +1

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

You'll use your expertise in analytical exploration and data examination while you oversee the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

You'll use your expertise in analytical exploration and data examination while you oversee the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Honolulu, HI · On-site +1

$77K - $176K/yr

Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Basic insurance, TDI and Long-Term Disability for regular Full-time and Part-time employees ... Ensure data accuracy and enhance tool automation. STRATEGY: IMPLEMENTATION OTA Management:

$31.74/hr

Basic insurance, TDI and Long-Term Disability for regular Full-time and Part-time employees ... Ensure data accuracy and enhance tool automation. STRATEGY: IMPLEMENTATION OTA Management:

Revenue Analyst

Wailea, HI · On-site

$31.74/hr

Basic insurance, TDI and Long-Term Disability for regular Full-time and Part-time employees ... Ensure data accuracy and enhance tool automation. STRATEGY: IMPLEMENTATION OTA Management:

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Showing results 1-20

Part Time Data Analyst information

See Hawaii salary details

$35.3K

$85.9K

$141.3K

How much do part time data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for part time 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 part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

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 and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
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 Part Time Data Analyst jobs in Hawaii? For Part Time Data Analyst jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst jobs in Hawaii look for? The top searched job categories for Part Time Data Analyst jobs in Hawaii are:
What cities in Hawaii are hiring for Part Time Data Analyst jobs? Cities in Hawaii with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Hawaii as of July 2026, with employment types broken down into 100% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $85,860 per year, or $41.3 per hour.
Acoustician Level 2 Part Time - Cetacean Data Analysis & Processing Support

Acoustician Level 2 Part Time - Cetacean Data Analysis & Processing Support

Lynker Corporation

Honolulu, HI

$36 - $52/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Lynker Corporation is seeking to hire one (1) part-time Acoustician Level 2 to support a contract with NOAA’s National Marine Fisheries Service (NMFS). This is a year-round, part-time position anticipated at approximately 940 hrs per year that may be performed on-site or remotely, with anticipated travel in support of meetings, workshops, and field activities. The position is anticipated to begin on September 30, 2026. Hiring for this position will be contingent on contract award. *Lynker will be operating under its FLOAT joint venture, a NOAA ProTech Fisheries 2.0 prime contract holder.

NOAA NMFS uses passive acoustic monitoring data to support cetacean population assessments and analysis of ocean soundscapes across the Pacific Islands Region. The tasks for this position will support larger analysis efforts at PIFSC. Work will include analysis of datasets collected from stationary, drifting, moored, towed, and autonomous platforms to evaluate cetacean vocalizations, behavior, occurrence, and relationships to habitat and environmental conditions.


Essential Duties and Responsibilities
  • Analyze passive acoustic monitoring datasets collected from stationary recorders, towed hydrophone arrays, drifting recorders, autonomous gliders, and other acoustic platforms.
  • Develop, test, validate, and refine automated cetacean detection, classification, and localization approaches.
  • Conduct quantitative analyses of cetacean occurrence, abundance, seasonality, habitat use, and acoustic behavior.
  • Characterize cetacean call types and evaluate relationships between acoustic detections and environmental or anthropogenic factors.
  • Perform statistical analyses supporting marine mammal stock assessments and ecological research.
  • Analyze underwater soundscape datasets and compute ambient noise metrics across multiple temporal scales.
  • Evaluate long-term acoustic trends and assess natural and anthropogenic sound sources within monitored ecosystems.
  • Validate automated classifiers through manual review and annotation of acoustic datasets.
  • Support acoustic analyses associated with autonomous Seaglider deployments and other emerging monitoring technologies.
  • Contribute to acoustic propagation modeling and evaluation of species-specific detection performance.
  • Maintain reproducible analytical workflows using MATLAB, Python, R, GitHub, and NOAA Fisheries data management standards.
  • Document analytical methods, maintain analysis logs, and support preparation of reports, manuscripts, conference presentations, and technical summaries.
  • Collaborate with NOAA scientists, project partners, and working groups to advance passive acoustic monitoring methodologies and research objectives.

The Acoustician selected should have the following minimum requirements:
  • Master’s degree in marine biology, oceanography, acoustics, fisheries science, statistics, computer science, or related field
  • At least two (2) years of relevant experience
  • Working knowledge of underwater acoustic theory and practice, including acoustic propagation, sound measurement, and standard signal processing techniques
  • Experience developing, testing, and validating automated detectors and classifiers for passive acoustic datasets
  • Experience processing acoustic data to extract soundscape and ambient noise measurements at hourly to yearly timescales
  • Ability to design, execute, and interpret statistical analyses of animal abundance to evaluate patterns in occurrence or associations with habitat or fishery variables
  • Prior experience drafting reports and presenting project results at scientific meetings
  • Proficiency in MATLAB and R programming languages, including MATLAB-based acoustic analysis software Triton
  • Current MS Office skills
  • Proficiency with passive acoustic metadata databases such as TETHYS and Makara
  • Proficiency in open science practices, including use of GitHub or other resources for maintaining and archiving analysis code
The Ideal Acoustician will have the following preferred qualifications:
  • Experience with acoustic localization techniques, including evaluation of automated algorithms within PAMGUARD and development of novel processing and evaluation code


About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) – we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

*This position is advertised through our joint venture, FISH and Lynker Ocean Alliance Team (FLOAT), a partnership between Lynker and Fisheries Immersed Sciences Hawaii (FISH) serving the NOAA ProTech Fisheries 2.0 IDIQ contracting vehicle.

 Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.