Financial Data Analyst (Financial Feeder System Concentration)
Full Job Posting
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.
Additional information
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
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster.pdf
https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
About Significance, Inc.
Provides financial and technical consulting to federal government agencies.
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