DMLSS Business Data Analyst / Data Engineer

Company: Nakupuna Companies

Location: Location not specified (Remote)

Type: Contract

Remote: Yes

Posted: 2026-05-22

About this role

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 improv...

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