Financial Data Analyst (Financial Feeder System Concentration)
Oahu, HI
- Pay
USD 115,000–130,000/yearLocation-specific pay — pay source
Salary 115,000 – 130,000 USD per year At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location.
Read the full posting- Work setting
Working pattern needs review — work setting source
We're proud of the culture we've built - one rooted in trust, collaboration, respect, and genuine relationships. Our people are empowered to share ideas, grow their careers, and deliver exceptional results while supporting missions that matter. It's a culture we're proud of, and one that has earned us recognition as a Washington Business Journal Best Place to Work for seven consecutive years. Significance is seeking a Financial Data Analyst to join our growing team supporting Navy Pacific in O‘ahu, Hawaii. This is a hybrid position is based in Oʻahu and typically requires onsite work 2–3 days per week, with some weeks fully remote. Candidates must possess an active Secret clearance, although an Interim Secret clearance will also be accepted. The Financial Data analyst specialize in Navy FM data environments to support ongoing financial management modernization and analytics efforts across Navy ERP and associated Navy business systems. The analyst will work closely with comptroller organizations, functional experts, and technical teams to build meaningful, accurate, and actionable reports, dashboards, and data products.
Read the full posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s listing: Full Time
From the employer’s posting
What you’ll work on
Full postingBuild reports, dashboards, and data products for Navy comptroller organizations
Interpret FM business rules and track how financial data moves across systems
Build repeatable data pipelines and automate reporting for month-end and year-end close
Train end users on dashboards and analytics products
Document processes such as desk guides, SOPs, and source-to-target mappings
From the employer’s posting
build meaningful, accurate, and actionable reports, dashboards, and data products
interpret FM business rules, understand how financial data moves across systems
Ability to build repeatable data pipelines and automate reporting solutions that support month-end, year-end, or audit readiness activities
Ability to train end users on dashboards, analytics products, or data transparency tools
Experience documenting repeatable processes (desk guides, SOPs, workflows, source-to-target mappings)
What you’ll bring
All qualificationsCore experience
- Demonstrated ability to translate FM business processes into analytic models, dashboards, and automated reporting solutions.
- Hands-on experience using modern data analytics and visualization tools such as Power BI, Databricks, Qlik, Tableau, or equivalent platforms.
- Prior experience working with structured and unstructured financial data sets, including data cleansing, transformation, normalization, and validation.
- Ability to build repeatable data pipelines and automate reporting solutions that support month-end, year-end, or audit readiness activities.
- Familiarity with Navy ERP financial data structures, interfaces, or integration points (FI, FM, GL, CO, AM, and Procurement/Expenditure data sets).
- Understanding of FM processes such as budget execution, obligation tracking, cash management, reconciliation, trial balance validation, and financial statement compilation.
Preferred experience
- Experience conducting forensic analysis on FM datasets to identify anomalies, breaks, errors, or transaction-level discrepancies.
- Experience with R, Python, SQL, or similar languages used for data engineering or analytics.
Qualification wording
Demonstrated ability to translate FM business processes into analytic models, dashboards, and automated reporting solutions.
Hands-on experience using modern data analytics and visualization tools such as Power BI, Databricks, Qlik, Tableau, or equivalent platforms.
Prior experience working with structured and unstructured financial data sets, including data cleansing, transformation, normalization, and validation.
Ability to build repeatable data pipelines and automate reporting solutions that support month-end, year-end, or audit readiness activities.
Familiarity with Navy ERP financial data structures, interfaces, or integration points (FI, FM, GL, CO, AM, and Procurement/Expenditure data sets).
Understanding of FM processes such as budget execution, obligation tracking, cash management, reconciliation, trial balance validation, and financial statement compilation.
Experience conducting forensic analysis on FM datasets to identify anomalies, breaks, errors, or transaction-level discrepancies.
Experience with R, Python, SQL, or similar languages used for data engineering or analytics.
Tools in this posting
- Python
- R
- SQL
- Databricks
- Power BI
- Tableau
Source — Tool mentions in context
- Experience conducting forensic analysis on FM datasets to identify anomalies, breaks, errors, or transaction-level discrepancies. - Experience with R, Python, SQL, or similar languages used for data engineering or analytics. - Background supporting DON or Navy ERP transformation, optimization, or enterprise-level analytics modernization efforts.
- Demonstrated ability to translate FM business processes into analytic models, dashboards, and automated reporting solutions. - Hands-on experience using modern data analytics and visualization tools such as Power BI, Databricks, Qlik, Tableau, or equivalent platforms. - Prior experience working with structured and unstructured financial data sets, including data cleansing, transformation, normalization, and validation.
Desired Skills: - Certifications such as CISA, CompTIA Data+, Microsoft Power BI Data Analyst Associate, or similar. - Experience conducting forensic analysis on FM datasets to identify anomalies, breaks, errors, or transaction-level discrepancies.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 18 days ago
- Recorded sightings
- 25
- Last seen by us
- Oct 18, 2026
- Employer says posted
- Sep 28, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
At Significance, we believe the best results come from investing in great people. As a woman-owned consulting firm supporting federal civilian and Department of Defense customers, we bring together talented professionals who are passionate about solving complex challenges and making a meaningful impact.
We're proud of the culture we've built - one rooted in trust, collaboration, respect, and genuine relationships. Our people are empowered to share ideas, grow their careers, and deliver exceptional results while supporting missions that matter. It's a culture we're proud of, and one that has earned us recognition as a Washington Business Journal Best Place to Work for seven consecutive years.
Significance is seeking a Financial Data Analyst to join our growing team supporting Navy Pacific in O‘ahu, Hawaii. This is a hybrid position is based in Oʻahu and typically requires onsite work 2–3 days per week, with some weeks fully remote. Candidates must possess an active Secret clearance, although an Interim Secret clearance will also be accepted.
The Financial Data analyst specialize in Navy FM data environments to support ongoing financial management modernization and analytics efforts across Navy ERP and associated Navy business systems. The analyst will work closely with comptroller organizations, functional experts, and technical teams to build meaningful, accurate, and actionable reports, dashboards, and data products.
This role requires strong financial domain expertise combined with modern data analysis skill sets. The ideal candidate will be able to interpret FM business rules, understand how financial data moves across systems, and translate complex datasets into automated, transparent analytics that enhance decision-making and support audit readiness.
Required Skills:
- Minimum 4–6+ years of full-time (excluding internships) experience performing data analytics, business intelligence, or financial systems analysis within DoD organizations or Fortune 500 companies.
- Strong prior experience supporting Financial Management (FM) operations, including working with General Fund or Working Capital Fund financial data, financial statements, reconciliations, or command-level reporting.
- Demonstrated ability to translate FM business processes into analytic models, dashboards, and automated reporting solutions.
- Hands-on experience using modern data analytics and visualization tools such as Power BI, Databricks, Qlik, Tableau, or equivalent platforms.
- Prior experience working with structured and unstructured financial data sets, including data cleansing, transformation, normalization, and validation.
- Ability to build repeatable data pipelines and automate reporting solutions that support month-end, year-end, or audit readiness activities.
- Familiarity with Navy ERP financial data structures, interfaces, or integration points (FI, FM, GL, CO, AM, and Procurement/Expenditure data sets).
- Understanding of FM processes such as budget execution, obligation tracking, cash management, reconciliation, trial balance validation, and financial statement compilation.
- Working knowledge of Navy external systems (DCAS, DDRS, SLDCADA, DCPS, EDA, DTS, etc.) and experience analyzing data interactions between ERP and external feeds.
- Ability to train end users on dashboards, analytics products, or data transparency tools—virtually or on‑site.
- Experience documenting repeatable processes (desk guides, SOPs, workflows, source-to-target mappings).
- Active U.S. DoD Secret clearance or eligibility to obtain one.
Desired Skills:
- Certifications such as CISA, CompTIA Data+, Microsoft Power BI Data Analyst Associate, or similar.
- Experience conducting forensic analysis on FM datasets to identify anomalies, breaks, errors, or transaction-level discrepancies.
- Experience with R, Python, SQL, or similar languages used for data engineering or analytics.
- Background supporting DON or Navy ERP transformation, optimization, or enterprise-level analytics modernization efforts.
- Creation of EDL pipelines with requisite QA testing and optimization monitoring.
Salary
115,000 – 130,000 USD per year
At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location.
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a comprehensive and generous benefits package.
We are an E-Verify Employer
Employment type
Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 115,000 – 130,000 USD per year At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location.
- Location & working pattern
Oahu, HI
We're proud of the culture we've built - one rooted in trust, collaboration, respect, and genuine relationships. Our people are empowered to share ideas, grow their careers, and deliver exceptional results while supporting missions that matter. It's a culture we're proud of, and one that has earned us recognition as a Washington Business Journal Best Place to Work for seven consecutive years. Significance is seeking a Financial Data Analyst to join our growing team supporting Navy Pacific in O‘ahu, Hawaii. This is a hybrid position is based in Oʻahu and typically requires onsite work 2–3 days per week, with some weeks fully remote. Candidates must possess an active Secret clearance, although an Interim Secret clearance will also be accepted. The Financial Data analyst specialize in Navy FM data environments to support ongoing financial management modernization and analytics efforts across Navy ERP and associated Navy business systems. The analyst will work closely with comptroller organizations, functional experts, and technical teams to build meaningful, accurate, and actionable reports, dashboards, and data products.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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