DMLSS Business Data Analyst Data Engineer

Overview

Nakupuna Services is seeking to hire a Business Data Analyst / Data Engineer to support the Defense Health Agency (DHA) Defense Medical Logistics Standard Support (DMLSS) Database Sustainment Specialist (DSS) Support contract. This position provides enterprise data analysis, engineering, and business intelligence support to the Program Manager, Technical Managers, AOR Managers, and DHA stakeholders. The Business Data Analyst / Data Engineer supports program execution by developing and maintaining data pipelines, integrating multiple facilities and logistics data sources, and producing dashboards and analytical products that enable data-driven decision-making. This role analyzes and organizes enterprise data from systems such as DMLSS/LogiCole FM, FROID, RPSS, and BUILDER to support the FOB SOT reporting database environment and enterprise reporting requirements. The position collaborates with stakeholders to ensure data quality, documentation standards, and consistent data governance practices while supporting business intelligence strategies across the DHA Facilities Enterprise. The role requires strong analytical capability, technical data engineering skills, attention to detail, and the ability to operate effectively within a collaborative program team in a structured federal environment.

Responsibilities

The following reflects management’s definition of essential functions for this position but does not restrict tasks that may be assigned.

• Analyze and organize raw data from multiple sources including DMLSS/LogiCole FM, Facilities Requirements, Operations, Investment, and Data (FROID), Real Property Systems Standard (RPSS), and BUILDER Sustainment Management System (BUILDER SMS) into the FOB SOT reporting database environment.
• Build and maintain data systems and pipelines using SQL and Microsoft Power Query to ensure data reliability and quality.
• Interpret key business datasets and provide actionable recommendations to improve data process flow (data capture, data QA/QC, and data distribution).
• Develop and maintain dashboards and reporting products using Power BI, Tableau, and other related visualization tools to present data-backed insights.
• Support business intelligence strategies through quantitative analysis and business-focused reporting.
• Perform business analysis to align data systems and reporting outputs with organizational goals and DHA-FE objectives.
• Prepare data sets for prescriptive and predictive modeling efforts.
• Develop algorithms and prototypes to automate data transformation and distribution via the FE SharePoint environment.
• Coordinate with data source stakeholders and product managers to establish and maintain documentation, data definitions, and standards for enterprise-level data usage.
• Document data workflows, transformation logic, reporting methodologies, and governance practi