> Markdown version of [/jobs/ext/4385834-navy-erp-ddef-umt-error-research-sme-remote-1067](https://www.wearedevelopers.com/jobs/ext/4385834-navy-erp-ddef-umt-error-research-sme-remote-1067). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Navy ERP DDEF / UMT Error Research SME - REMOTE (1067) - **Company:** Herdt Consulting Inc - **Location:** Chelsea, AL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Transformation, Python (Programming Language), SQL Databases, Transaction Data, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e14f4ec53ec7b9a6 ## About the Role * Education: Bachelor's degree in Business Administration, Accounting, Finance, or another relevant discipline * Experience: 6+ years of relevant professional experience * Work Schedule/Arrangement: Full-time / Remote, * Hands-on Navy ERP experience researching transaction errors, financial data issues, or reconciliation discrepancies. * Experience investigating DDEF and/or UMT errors, including transaction-level root-cause analysis. * Practical experience using Jupiter/Databricks to explore, query, and analyze datasets. * Ability to interpret financial transaction data, identify data-quality issues, and trace processing or interface failures. * Experience comparing data across source systems, analytical outputs, and ERP records to substantiate findings. * Strong analytical problem-solving, technical documentation, and cross-functional communication skills. * Experience with SQL, Python, notebook-based analysis, or dashboards supporting financial data investigation is a plus! ## Description Herdt Consulting is seeking an experienced Navy ERP DDEF / UMT Error Research SME to support research and analyze Defense Departmental Reporting Error File (DDEF) and UMT errors. This role will use Jupiter/Databricks to investigate error conditions, identify root causes, and support accurate, auditable financial data processing., * Use Jupiter/Databricks to research DDEF and UMT errors and trace error conditions through source records, data transformations, interfaces, and Navy ERP processing to identify root causes. * Analyze incomplete, inaccurate, rejected, or unmatched transactions and isolate patterns affecting UMT error processing. * Use queries, notebooks, and data comparisons to reconcile source information with Navy ERP records and validate findings. * Coordinate with functional, technical, and data teams to recommend corrective actions and verify remediation outcomes. * Document research methods, supporting evidence, recurring error trends, and resolution status for auditability and knowledge sharing.