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Afternoon Data Analyst R Programming Jobs in Honolulu, HI

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

Collaborate with intelligence analysts, data engineers, and computer scientists to improve data ... Proficiency in Python, R, SQL, or similar programming languages. * Experience with data ...

BigBear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

You will collaborate closely with Data Architects and Data Engineers to build on standardized ... Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$119K/yr

You will collaborate closely with Data Architects and Data Engineers to build on standardized ... Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$140 - $210/hr

You will collaborate closely with Data Architects and Data Engineers to build on standardized ... Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA

Contact Government Services, LLC

FSR Analyst

Mililani, HI · On-site

$100K - $150K/yr

... engineers to improve data quality, usability, and trust. - Train users and promote data-driven workflows. Qualifications: - Strong analytical and problem-solving skills. - Experience working with ...

Cymertek Corporation

Data Modeler

Honolulu, HI · On-site

$90 - $120/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is organized and accessible across multiple platforms and systems. If you have a passion for data ...

Cymertek

Data Modeler

Honolulu, HI · On-site

$54 - $70.25/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is organized and accessible across multiple platforms and systems. If you have a passion for data ...

ManTech

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering ... Proficiency in Python, R, or similar languages for statistical analysis and model development

Cymertek

Analyst / Systems Engineer

Honolulu, HI · On-site

... Data Analyst, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science ... Engineering, Software Engineering, Data Science, Cybersecurity, Operations Research, Business ...

Pae

Data Engineer Mid

Joint Base Pearl Habor Hickam, HI · On-site

$118K - $141K/yr

Collaborate with intelligence analysts to understand complex data requirements and develop ... Proficiency in programming languages essential for data engineering, particularly Python (or R)

ManTech International

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering ... Proficiency in Python, R, or similar languages for statistical analysis and model development

ManTech

Logistics Operations Research Analyst

Aiea, HI · On-site

$85K - $141K/yr

Bachelor's degree in Operations Research, Applied Mathematics, Data Science, Engineering, or a ... Proficiency in tools such as Python, R, MATLAB, or other modeling and data analysis platforms.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Honolulu, HI

Afternoon Data Analyst R Programming information

See Honolulu, HI salary details

$33.6K

$81.6K

$134.3K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for afternoon data analyst r programming in Honolulu, HI is $81,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Honolulu, HI?

The most popular types of Data Analyst R Programming jobs in Honolulu, HI are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Honolulu, HI?

For Afternoon Data Analyst R Programming jobs in Honolulu, HI, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Honolulu, HI look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Honolulu, HI are:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Honolulu, HI as of July 2026, with employment types broken down into 1% As Needed, 58% Full Time, 30% Part Time, 1% Temporary, 4% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $81,617 per year, or $39.2 per hour.

Data Scientist - Mid-Level

Bluehawk, LLC

Pearl City, HI • On-site

$80 - $120/hr

Other

Posted 17 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

Education

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

Required Skills

  • Proficiency in Python, R, SQL, or similar programming languages.
  • Experience with data visualization platforms such as Power BI or Tableau.
  • Strong understanding of statistical techniques and modeling approaches.
  • Foundational knowledge of AI/ML concepts and applications.
  • Experience working with relational and/or NoSQL databases.
  • Familiarity with cloud-based big data technologies.
  • Ability to explain complex technical findings to non-technical audiences.
  • Understanding of intelligence analysis processes and mission requirements.
  • Experience working with structured and unstructured datasets in complex environments.

Experience

  • Minimum of 3 to 5 years of experience in data science, analytics, machine learning, or related technical fields.
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