DMLSS Business Data Analyst / Data Engineer

Na Ali'i Consulting & Sales, LLC is seeking a remote DMLSS Business Data Analyst / Data Engineer to support DHA DMLSS / DSS. This role focuses on turning diverse data into reliable pipelines and dashboards that inform enterprise decisions, covering data engineering, quality control, and business intelligence development.

Overview

Location: Remote • Salary: USD 77,740 - 126,500 per year • Education: Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Engineering, or Business Analytics.

Responsibilities

• Consolidate 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.
• Design and maintain data systems and pipelines with SQL and Microsoft Power Query to ensure data reliability and quality.
• Interpret key datasets and deliver actionable recommendations to optimize data capture, QA/QC, and distribution processes.
• Develop and maintain dashboards and reporting products using Power BI, Tableau, and related visualization tools to present data-driven insights.
• Support business intelligence initiatives through quantitative analysis and business-focused reporting.
• Perform business analysis to align data systems and 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 data definitions and standards for enterprise use.
• Document data workflows, transformation logic, reporting methodologies, and governance practices using SharePoint and Confluence.
• Collaborate with program leadership, technical teams, and DHA stakeholders to support enterprise reporting and data modernization initiatives.
• Support program deliverables, reporting requirements, and continuous improvement efforts as part of the DSS support team.

Requirements

• Proficiency in SQL, Power M, Power Query, Power BI, Microsoft Excel, and SharePoint.
• Working knowledge of Python, MongoDB, Tableau, machine learning concepts, and Confluence.
• Experience building dashboards and analytical reports using Power BI, Tableau, or similar tools.
• Understanding of data engineering concepts, ETL processes, and database structures.
• Familiarity with DMLSS/LogiCole FM systems and knowledge of other CAFM/CMMS platforms.
• Ability to interpret complex datasets and translate findings into actionable business recommendations.
• Understanding of data governance, QA/QC processes, and enterprise reporting standards.
• Strong organizational skills and meticulous attention to detail.
• Excellent written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.
• Ability to collaborate effectively within a cross-functional program team in a federally contracted environment.

Technologies

• SQL
• Power M
• Power Query
• Power BI
• Microsoft Excel
• SharePoint
• Python
• MongoDB
• Tableau
• Confluence
• DMLSS
• LogiCole FM
• RPSS
• BUILDER
• BUILDER SMS

Location

Remote

Clearance requirements

• Must be a U.S. Citizen.
• Must be able to obtain and maintain a favorable National Agency Check with Inquiries (NACI) Tier 1 investigation.
• Must be eligible to obtain and maintain a Common Access Card (CAC).
• Must comply with all installation access and security requirements.

Physical requirements

• Sit for extended periods while working at a computer.
• Perform repetitive hand and finger movements.
• Walk short distances within medical facilities.
• Occasionally lift up to 25 pounds.
• Maintain focus on detailed data entry and system review tasks.
• Work in a low-noise office environment within a healthcare facility.