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Entry Level Python Data Analysis Jobs in Honolulu, HI

Data Scientist - Jr.

Pearl City, HI · On-site

$80 - $100/hr

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the ... Proficiency in Python, R, SQL, or similar programming languages. * Experience with data ...

Experience with general-purpose programming languages (eg, Python, C++) * Skilled in data manipulation, processing, and analysis * Familiarity with building secure software using modern security ...

... as Python, Bash, or similar Experience working with structured and unstructured data sources Strong analytical and problem-solving skills Ability to communicate technical findings clearly to ...

Experience with data analytics, visualization, or statistical analysis tools * Familiarity with Python, SQL, Pandas, Jupyter, or similar analytic tools * Experience supporting NSA, USCYBERCOM ...

Required : • Bachelor's Degree • Proficiency in Python or R • Expertise in machine learning • Data visualization skills • Statistical analysis • SQL querying • Experience with big data ...

Required : • Bachelor's Degree • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine learning techniques • Strong statistical analysis skills • Knowledge of ...

Data Engineer

Honolulu, HI · On-site

$61K - $141K/yr

... Python * Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis * Experience creating software for retrieving, parsing and processing ...

Data Engineer

Honolulu, HI · On-site +1

$61K - $141K/yr

... Python * Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis * Experience creating software for retrieving, parsing and processing ...

Data Engineer

Honolulu, HI · On-site

$61K - $141K/yr

... Python * Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis * Experience creating software for retrieving, parsing and processing ...

Data Engineer

Honolulu, HI · On-site

$61K - $141K/yr

... Python * Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis * Experience creating software for retrieving, parsing and processing ...

... or Python * 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis * Experience creating software for retrieving, parsing ...

Foundry Data Engineer

Honolulu, HI · On-site

$61K - $141K/yr

... or Python * 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis * Experience creating sof tware for retrieving, parsing ...

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Entry Level Python Data Analysis information

See Honolulu, HI salary details

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How much do entry level python data analysis jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level python data analysis in Honolulu, HI is $32.52, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $36.35 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Honolulu, HI?

The most popular types of Python Data Analysis jobs in Honolulu, HI are:

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For Entry Level Python Data Analysis jobs in Honolulu, HI, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Analysis jobs in Honolulu, HI look for?

The top searched job categories for Entry Level Python Data Analysis jobs in Honolulu, HI are:

Infographic showing various Entry Level Python Data Analysis job openings in Honolulu, HI as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $67,639 per year, or $32.5 per hour.

Data Scientist - Jr.

Bluehawk, LLC

Pearl City, HI • On-site

$80 - $100/hr

Other

Posted 4 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 1 to 2 years of experience in data science, analytics, machine learning, or related technical fields.

Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity

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