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Freelance Python Data Analyst Jobs in Honolulu, HI

Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications. * Working knowledge of the Linux (RedHat) command line; familiarity with Windows ...

... in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications. • Working knowledge of the Linux (RedHat) command line; familiarity with Windows ...

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

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

Proficiency in Python, R, or similar languages for statistical analysis and model development ... Skilled in data querying using SQL/NoSQL and working within cloud environments (AWS, Azure, or GCP)

... in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications. • Working knowledge of the Linux (RedHat) command line; familiarity with Windows ...

Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications. * Working knowledge of the Linux (RedHat) command line; familiarity with Windows ...

... 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 ...

Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications. * Working knowledge of the Linux (RedHat) command line; familiarity with Windows ...

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

Experience using scripting languages (Python and R) to process, analyze and visualize data. * Experience using notebooks (Jupyter Notebooks and RMarkdown) to create reproducible and explainable ...

Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications. Working knowledge of the Linux (RedHat) command line; familiarity with Windows ...

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

... Python) or a Windows development stack (.NET, C#, C++). * Experience with data transport and ... Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.

... Python) or a Windows development stack (.NET, C#, C++). * Experience with data transport and ... Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.

... Python) or a Windows development stack (.NET, C#, C++). * Experience with data transport and ... Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.

Data Scientist

Honolulu, HI · On-site

$50K - $120K/yr

Developing data analytics and automating analytic workflows for Data Parsing * Tool knowledge needed * Data flow knowledge needed * Python Needed Location: Honolulu, Hawaii Salary Range: The salary ...

Developing data analytics and automating analytic workflows for​ Data Parsing * Tool knowledge needed * Data flow knowledge needed * Python Needed Location: Honolulu, Hawaii Salary Range: The ...

Showing results 41-60

Freelance Python Data Analyst information

See Honolulu, HI salary details

$13

$32

$61

How much do freelance python data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for freelance python data analyst 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 does a freelance Python data analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

What skills and qualifications are needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

How does a freelance Python data analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

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

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

What are popular job titles related to Freelance Python Data Analyst jobs in Honolulu, HI?

For Freelance Python Data Analyst jobs in Honolulu, HI, the most frequently searched job titles are:

What job categories do people searching Freelance Python Data Analyst jobs in Honolulu, HI look for?

The top searched job categories for Freelance Python Data Analyst jobs in Honolulu, HI are:

Infographic showing various Freelance Python Data Analyst job openings in Honolulu, HI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,639 per year, or $32.5 per hour.

Data Operations Engineer Principal

SAIC

Honolulu, HI • On-site, Remote

$120K - $160K/yr

Full-time

Posted 15 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 225 rated it services


Job description

Job ID: 2615413

Location: Honolulu, HI, US

Date Posted: 2026-08-11

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security domains using cross domain solutions (CDS) / guards. You will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability.

You'll partner closely with data engineers, platform engineers, analytics teams, and security/governance personnel to deliver trustworthy, low-latency data that supports operational decisions — while ensuring compliance with cross-domain and data classification requirements. This position is on-site in Honolulu, HI.

Key Responsibilities

  • Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest.
  • Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies.
  • Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies.
  • Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML.
  • Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team.
  • Collaborate with platform, software, and other data engineers to (re)configure and continuously improve data ingestion pipeline reliability.
  • Develop and maintain software/scripts to automate monitoring of real-time feeds and alert on timeliness, volume, lineage, and distribution data issues.
  • Translate learnings from historical pipeline data into actionable steps to improve data ingest reliability and performance.
  • Partner with security and governance teams to enforce encryption, authentication, authorization, and data classification requirements across pipelines and cross-domain transfers.
  • Write and maintain scripts (Python, Bash, or similar) to automate data processing, validation, and monitoring tasks.
  • Document data flows, system configurations, and standard operating procedures.

Qualifications

  • TYPICAL EDUCATION AND EXPERIENCE: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
  • U.S. Citizenship and an active TS/SCI clearance.
  • Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics, Information Systems, Information Technology, or related field.
  • 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
  • Proficiency in Python, Bash, or similar scripting languages commonly used in data science/data analytics applications.
  • Working knowledge of the Linux (RedHat) command line; familiarity with Windows environments.
  • Solid understanding of data engineering fundamentals: data pipelines, streaming architectures, ETL/ELT concepts, and data quality principles.
  • Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation.

Preferred Qualifications (Nice to Have)

  • Experience with streaming/messaging platforms and tools: Kafka, JMS, Apache Flink/Spark Streaming.
  • Experience with monitoring/observability tools: Grafana, Prometheus, Elasticsearch.
  • Experience with data platforms such as Snowflake.
  • Familiarity with cross domain solutions/guards (e.g., data diode concepts, transfer validation, content filtering).
  • Experience enforcing encryption, authentication/authorization, and data classification policies in partnership with security/governance teams.
  • Experience with version control tools (e.g., Git) and Agile/Scrum practices.
  • Prior experience in a government, defense, or intelligence community environment.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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