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Data And Analytics Manager Jobs in Hawaii (NOW HIRING)

BigBear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

You will collaborate closely with Data Architects and Data Engineers to build on standardized ... management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics ...

Cymertek Corporation

Data Scientist

Honolulu, HI · On-site

$110 - $150/hr

We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing ... Understanding of database management systems * Experience in deploying models to production

Cymertek

Data Scientist

Honolulu, HI · On-site

We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing ... Understanding of database management systems * Experience in deploying models to production

Servco

Product Manager

Honolulu, HI · On-site

$82K - $125K/yr

The Product Manager will oversee Toyota, Lexus, and Subaru vehicle product lines in the Hawaii ... Utilizes internal and external information and data sets to design and develop an analytical view ...

Servco

Product Manager

Honolulu, HI · On-site

$82K - $125K/yr

The Product Manager will oversee Toyota, Lexus, and Subaru vehicle product lines in the Hawaii ... Utilizes internal and external information and data sets to design and develop an analytical view ...

hawaiianel

Fire Behavior Analyst - Oahu

Honolulu, HI · On-site

Prepares and delivers presentations to senior management. * Provides internal training and support to stakeholders on fire data analytics. * Emergency Response Support * Provides analytical support ...

HMSA

Senior Financial Health Data Analyst II

Honolulu, HI · On-site

$84K - $105K/yr

Interpret data and develop reports to communicate findings to senior management. * Participate in ... Develop, analyze, recommend, and enhance workflow processes related to project deliverables.

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All JobsData And Analytics JobsData And Analytics Manager JobsData And Analytics Manager Jobs in Hawaii

Data And Analytics Manager information

See Hawaii salary details

$32.2K

$100.9K

$178.7K

How much do data and analytics manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data and analytics manager in Hawaii is $100,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $130,400.00 per year, depending on experience, location, and employer.

What is a data and analytics manager?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.

What are the key skills and qualifications needed to thrive as a data and analytics manager?

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are some common challenges faced by data and analytics managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

Is data and analytics manager a high paying job?

Data and Analytics Managers typically earn higher salaries compared to many other roles in the tech and business sectors, with compensation often reflecting experience, industry, and location. They usually require strong skills in data analysis, tools like SQL and Tableau, and relevant certifications, which can contribute to higher earning potential.

What are popular job titles related to Data And Analytics Manager jobs in Hawaii?

For Data And Analytics Manager jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Data And Analytics Manager jobs in Hawaii look for?

The top searched job categories for Data And Analytics Manager jobs in Hawaii are:

What cities in Hawaii are hiring for Data And Analytics Manager jobs?

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Data And Analytics Manager jobs near you
Infographic showing various Data And Analytics Manager job openings in Hawaii as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $100,929 per year, or $48.5 per hour.

Data Scientist - Journeyman

BigBear.ai

Honolulu, HI • On-site

Other

Posted 13 days ago

Job description

Residency
All applicants must currently reside in the United States
Overview
BigBear.ai is seeking a Journeyman Data Scientist to support a Department of the Army enterprise data team by delivering advanced analytics, predictive modeling, and secure AI/ML integration. In this role, you will apply rigorous statistical methods and modern machine learning (including NLP and Generative AI) to forecast operational trends, inform executive decisions, and develop high-fidelity models, dashboards, and cognitive agents across multiple classification enclaves.
You will collaborate closely with Data Architects and Data Engineers to build on standardized, governed data pipelines and help maintain trusted "single source of truth" repositories in accordance with strict security and classification protocols.
What you will do
  • Build, test, and deploy machine learning and statistical models (e.g., forecasting, classification, regression) to answer mission-critical questions and improve decision-making
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, data quality issues, and operational drivers across complex, multi-source datasets
  • Develop and operationalize features and model pipelines in partnership with data engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments
  • Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data
  • Create clear, executive-ready analytic products (dashboards, visualizations, and briefings) that translate technical results into actionable recommendations
  • Work across multiple classification enclaves while complying with all security, handling, and documentation requirements
  • Collaborate with stakeholders to refine problem statements, define measures of success, and validate that analytic outputs align to operational needs
  • Monitor and improve model performance over time, including drift detection, recalibration, and documentation of assumptions and limitations

What you need to have
  • Must maintain an active DoD TS/SCI security clearance
  • 5+ years of experience in applied statistics, predictive modeling, ML, or quantitative research
  • Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical, Systems, Industrial, or Computer Engineering; Computer Science (with strong mathematics focus); Operations Research or Econometrics)
  • Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA
  • Demonstrated knowledge and application of forecasting, regression, and modern ML frameworks (scikit-learn, TensorFlow, PyTorch)
  • Experience working with LLMs/Generative AI within secure, governed enterprise boundaries
  • Experience with creating executive-level data storytelling via visualizations/dashboards

What we'd like you to have
  • Experience working within enterprise big data platforms, especially Palantir Foundry (Contour, Workshop, Quiver); or Databricks, Snowflake
  • Familiarity with the Defense/Intelligence sector, including Headquarters operations and intelligence data structures/sources
  • Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment
  • Master's degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related)

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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