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Remote Excel Data Analyst Jobs in Hawaii (NOW HIRING)

SAIC

Data Operations Engineer Principal

Honolulu, HI · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... You'll partner closely with data engineers, platform engineers, analytics teams, and security ...

Parsons

Logistics Analyst

Honolulu, HI · On-site +1

Proficiency in data analysis tools (e.g., Excel, SQL) and logistics management software (e.g., TMS ... Experience working in both large-scale and remote, isolated environments, particularly within the ...

Booz Allen Hamilton, Inc.

Nuclear Analyst

Honolulu, HI · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246001 Location: Honolulu,HI,US Share job via: Share Nuclear Analyst ... Your technical proficiency, data analysis skills, and regulatory expertise will underpin the safe ...

BOOZ, ALLEN & HAMILTON, INC.

$77K - $176K/yr

A skilled geospatial and remote sensing analyst can turn that data into mission critical information. If that sounds like you, we have an opportunity for you! As a geospatial and remote sensing ...

Booz Allen Hamilton, Inc.

Financial Analyst

Honolulu, HI · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246350 Location: Honolulu,HI,US Share job via: Share Financial ... data analytics, spend plan management, and actionable insights that enable effective financial ...

Booz Allen Hamilton, Inc.

Financial Analyst

Honolulu, HI · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0239844 Location: Honolulu,HI,US Share job via: Share Financial ... data analytics, spend plan management, and actionable insights that enable effective financial ...

Booz Allen Hamilton, Inc.

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Remote Work: No Job Number: R0244293 Location: Honolulu,HI,US Share job via: Share Data Engineer ... You'll use your expertise in analytical exploration and data examination while you oversee the ...

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All JobsExcel Data Analyst JobsRemote Excel Data Analyst JobsRemote Excel Data Analyst Jobs in Hawaii

Remote Excel Data Analyst information

What does a remote Excel data analyst do?

A Remote Excel Data Analyst is responsible for collecting, organizing, and analyzing data using Microsoft Excel while working from a remote location. They use advanced Excel functions and tools to create reports, visualize data, and provide insights that help businesses make informed decisions. Tasks may include cleaning and validating data, building dashboards, automating processes with formulas or macros, and collaborating with teams online. Strong attention to detail and proficiency in Excel are essential for this role.

What are the key skills and qualifications needed to thrive as a remote Excel data analyst?

To excel as a Remote Excel Data Analyst, you need strong analytical skills, advanced proficiency in Microsoft Excel, and a solid understanding of data management principles, often supported by a degree in a related field. Familiarity with Excel functions, PivotTables, VBA scripting, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate data analysis, clear reporting, and impactful business insights in a virtual environment.

How does a remote Excel data analyst typically collaborate with team members while working offsite?

As a Remote Excel Data Analyst, collaboration is often managed through digital communication tools such as Slack, Microsoft Teams, and email. Analysts frequently share spreadsheets, conduct screen-sharing sessions, and participate in virtual meetings to discuss findings or review data together. Clear documentation and version control of Excel files are crucial to ensure everyone is aligned. Regular check-ins and updates help maintain transparency and foster teamwork, despite the physical distance.

What is the difference between Remote Excel Data Analyst vs Remote Data Analyst?

AspectRemote Excel Data AnalystRemote Data Analyst
Required SkillsExcel, data analysis, basic SQLExcel, SQL, data visualization, statistical tools
CertificationsExcel certifications, data analysis coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, primarily working with Excel filesRemote, using various data tools and platforms
Industry UsageFinance, marketing, operationsFinance, healthcare, tech, marketing

The Remote Excel Data Analyst primarily focuses on analyzing data using Excel and related tools, often in industries like finance and marketing. In contrast, the Remote Data Analyst typically works with a broader set of data tools, including SQL and visualization software, across diverse industries. Both roles are remote and require strong analytical skills, but the Remote Data Analyst usually demands a wider technical skill set.

What are the most commonly searched types of Excel Data Analyst jobs in Hawaii?

The most popular types of Excel Data Analyst jobs in Hawaii are:

What are popular job titles related to Remote Excel Data Analyst jobs in Hawaii?

For Remote Excel Data Analyst jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Remote Excel Data Analyst jobs in Hawaii look for?

The top searched job categories for Remote Excel Data Analyst jobs in Hawaii are:

What cities in Hawaii are hiring for Remote Excel Data Analyst jobs?

Cities in Hawaii with the most Remote Excel Data Analyst job openings:

Remote Excel Data Analyst jobs near you
Infographic showing various Remote Excel Data Analyst job openings in Hawaii as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Operations Engineer Principal

SAIC

Honolulu, HI • On-site, Remote

$120K - $160K/yr

Full-time

Posted 19 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th 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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