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Mining Data Analytics Jobs in Hawaii (NOW HIRING)

... data mining, predictive analytics, machine learning, data visualization, data-driven decision-making, optimization techniques, and/or business intelligence. * Directly relevant, current and active ...

Responsibilities include collecting/mining data, identifying issues, assessing risks, establishing goals and objectives, identifying options, analyzing/modeling solution scenarios, determining ...

As the data scientist, you build analytical models, pipelines, and statistical proofs. As the ... mining solutions, and you know how to apply your business and technical experience to develop ...

Experience working with data mining and reporting tools in an automated financial accounting system. * Demonstrated ability to analyze, reconcile and synthesize complex data from various databases ...

$82K - $140K/yr

... correct data call errors. Compile, segregate, evaluate, research, interpret, analyze, and ... Experience using data mining tools; open source research methods; understanding of military ...

Build and display data sets, perform data mining, and assist with the operation of a Space Common ... Identify and analyze concepts and technologies for investment. * Provide support to space functions ...

Build and display data sets, perform data mining, and assist with the operation of a Space Common ... Identify and analyze concepts and technologies for investment. * Provide support to space functions ...

Showing results 21-38

Mining Data Analytics information

What does a mining data analytics do?

A mining data analyst collects, processes, and interprets data related to mining operations to improve efficiency, safety, and productivity. They use tools like SQL, Python, or specialized mining software to analyze large datasets and support decision-making. Strong analytical skills and knowledge of mining processes are essential for this role.

What is data analytics in the mining industry?

Data analytics in mining involves collecting and analyzing large datasets from exploration, production, and safety operations to optimize processes, improve efficiency, and reduce costs. Mining data analysts use tools like statistical software and machine learning to interpret sensor data, geological information, and operational metrics, supporting decision-making and resource management.

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

What are popular job titles related to Mining Data Analytics jobs in Hawaii? For Mining Data Analytics jobs in Hawaii, the most frequently searched job titles are:
What cities in Hawaii are hiring for Mining Data Analytics jobs? Cities in Hawaii with the most Mining Data Analytics job openings:
Infographic showing various Mining Data Analytics job openings in Hawaii as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist - Sr. with Security Clearance

Bluehawk, LLC

Honolulu, HI โ€ข On-site

Other

Re-posted 25 days ago


Job description

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions. This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage Responsibilities * Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
* Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
* Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
* Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
* Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
* Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
* Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
* Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
* Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
* Apply experimental design principles to test hypotheses and evaluate intelligence processes.
* Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
* Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
* Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
* Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings. Qualifications * Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
Required Skills * Advanced proficiency in multiple programming languages, analytical frameworks, and machine learning libraries.
* Deep expertise in AI/ML, deep learning, and artificial intelligence applications.
* Strong understanding of multi-INT fusion and large-scale intelligence analytics.
* Demonstrated success deploying predictive models in operational or mission environments.
* Experience developing custom analytical solutions for complex intelligence problems.
* Advanced proficiency with cloud platforms, distributed computing, and big data systems.
* Experience leading data science teams and mentoring junior professionals.
* Strong understanding of intelligence enterprise requirements and mission priorities.
* Ability to translate complex analytical results into operational recommendations.
* Familiarity with DevOps and production deployment processes for analytic solutions.
Experience * Minimum of 7 to 10 years of experience in data science, analytics, or machine learning, including experience supporting defense, intelligence, or operational missions. Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity