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Excel Data Analyst Jobs in Hawaii (NOW HIRING)

You'll partner closely with data engineers, platform engineers, analytics teams, and security ... Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation. Preferred ...

You'll partner closely with data engineers, platform engineers, analytics teams, and security ... Excel, CSV, JSON, and XML. • Employ data manipulation and visualization tools (e.g., Grafana ...

You'll partner closely with data engineers, platform engineers, analytics teams, and security ... Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation. Preferred ...

You'll partner closely with data engineers, platform engineers, analytics teams, and security ... Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation. Preferred ...

$111K - $134K/yr

You'll partner closely with data engineers, platform engineers, analytics teams, and security ... Familiarity with JSON, XML, CSV, and Excel data formats, parsing, and transformation. Preferred ...

Senior Financial Health Data Analyst II

Honolulu, HI · On-site

$84K - $105K/yr

Gather data post-implementation to measure outcomes and impacts. * Develop, analyze, recommend, and monitor reimbursement and provider strategies; prepare reports that measure the effectiveness of ...

Senior Financial Health Data Analyst I

Honolulu, HI · On-site

$84K - $105K/yr

Analyze data and identify trends, patterns, or other notable issues with an eye for cost reduction opportunities. * Monitor market trends to identify emerging opportunities or risks in business ...

Data Scientist LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... analytics techniques, and apply innovative tools to solve challenging problems. If you excel at ...

Data Scientist

Honolulu, HI · On-site

$110 - $150/hr

... analytics techniques, and apply innovative tools to solve challenging problems. If you excel at ... SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ...

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions * Minimal travel * Reliable internet access for any period of time working remotely and not in a Workiva ...

Showing results 21-40

Excel Data Analyst information

See Hawaii salary details

$35.3K

$85.9K

$141.3K

How much do excel data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for excel data analyst in Hawaii is $85,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $100,800.00 per year, depending on experience, location, and employer.

What is an Excel data analyst?

An Excel Data Analyst is responsible for interpreting and analyzing data using Microsoft Excel to help businesses make informed decisions. They work with datasets, create reports, build dashboards, and use formulas and pivot tables to identify trends and insights. This role often involves data cleaning, visualization, and automation using Excel functions like VLOOKUP, INDEX-MATCH, and macros. Excel Data Analysts are crucial in optimizing workflows and improving data-driven decision-making within an organization.

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

To thrive as an Excel Data Analyst, you need advanced Excel skills, strong analytical abilities, and attention to detail, typically supported by a background in mathematics, statistics, or a related field. Familiarity with data visualization tools, database systems, and relevant certifications such as Microsoft Excel certification are highly valued. Excellent problem-solving, communication, and time management skills enable you to interpret data effectively and present findings clearly. These skills are critical for extracting actionable insights from complex data sets and supporting data-driven decision-making processes within an organization.

What are the typical career advancement opportunities for an Excel data analyst?

Excel Data Analysts often have multiple pathways for career growth, including moving into senior analyst roles, specializing in business intelligence, or transitioning to data science positions. Many professionals expand their technical toolkit by learning advanced analytics platforms, programming languages (like Python or SQL), or gaining experience with data visualization software such as Power BI or Tableau. Advancement may also come through industry-specific expertise or taking on leadership and project management responsibilities. With experience, Excel Data Analysts can become invaluable team members who drive strategic business decisions and may lead analytics teams.

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

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

Infographic showing various Excel Data Analyst job openings in Hawaii as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $85,860 per year, or $41.3 per hour.

Data Operations Engineer Principal

SAIC

Honolulu, HI • On-site

$120K - $160K/yr

Full-time

Posted 25 days ago


SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services


Job description

Job Description
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.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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