Data Analyst / Data Engineer & Reporting Specialist — Army Enterprise Analytics

Unified Business Technologies, Inc.; Fort Belvoir (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

Unified Business Technologies, Inc. seeks a Data Analyst/Engineer & Reporting Specialist to support Army enterprise data management, data engineering, analytics, and reporting initiatives.

The role develops and maintains data integration workflows, improves data quality, manages metadata, and delivers dashboards and analytical products to support operational decision-making. It combines data engineering with enterprise analytics, visualization, and reporting functions for mission-focused

Qualifications

• 4+ years in data analytics, engineering, BI, or reporting.
• Experience creating ETL/ELT workflows.
• Proficiency in SQL with relational/cloud datasets.
• Experience with Power BI or Tableau.
• Python or equivalent data processing tech.
• Knowledge of enterprise data modeling, metadata, data quality.
• Experience integrating data from multiple systems.
• Ability to turn requirements into analytical reports.

Responsibilities

• Organize and align enterprise data for analytics needs.
• Design data models, schemas, and metadata.
• Develop ETL/ELT pipelines.
• Build data workflows for extraction, transformation, and delivery.
• Optimize data flows across cloud platforms and databases.
• Assess data quality and resolve inconsistencies.
• Maintain metadata catalogs and governance docs.
• Create dashboards and analytical reports.
• Ensure reports meet security and access controls.
• Prepare user training materials and reporting guidance.
• Support analytics product improvements as missions evolve.

Skills

SQL

Relational DBs

Power BI

Tableau

Python

ETL/ELT

Data modeling

Metadata management

Data quality

Data integration

Stakeholder reporting

Tools

Azure Data Factory

AWS Glue

Databricks

Job description

Description

We are seeking a Data Analyst/Engineer & Reporting Specialist to support Army enterprise data management, data engineering, analytics, and reporting initiatives.

The selected professional will develop and maintain data integration workflows, improve data quality, manage metadata, and deliver dashboards and analytical reporting products supporting operational decision-making.

This position combines data engineering responsibilities with enterprise analytics, visualization, and reporting functions.

Key Responsibilities

• Organize, structure, and align enterprise data supporting Army analytical and mission requirements.


• Design and maintain data relationships, models, schemas, and supporting metadata.


• Develop and maintain Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines.


• Build workflows for data extraction, transformation, integration, and delivery.


• Optimize data flows across cloud platforms, enterprise systems, and operational databases.


• Perform data quality assessments and resolve data inconsistencies.


• Maintain metadata catalogs, data definitions, and data governance documentation.


• Work with stakeholders to identify analytical requirements and improve data accessibility.


• Design and maintain dashboards, reports, visualizations, and analytical products.


• Ensure reporting outputs comply with approved security, governance, and access control requirements.


• Validate report accuracy and improve the clarity of data visualizations.


• Prepare user training materials, reporting documentation, and data usage guidance.


• Support ongoing improvements to analytics products as mission requirements evolve.

Requirements

• Approximately 4+ years of data analytics, data engineering, business intelligence, or reporting experience.


• Experience developing ETL or ELT workflows.


• Proficiency in SQL and experience working with relational databases or cloud-hosted datasets.


• Experience using a reporting or data visualization platform such as Power BI or Tableau.


• Familiarity with Python or comparable data processing technologies.


• Understanding of enterprise data modeling, metadata management, and data quality practices.


• Experience integrating data from multiple systems.


• Ability to translate stakeholder requirements into meaningful analytical reports and visualizations.

Preferred Qualifications

• Experience with Azure Data Factory, AWS Glue, Databricks, or similar data engineering platforms.


• Experience with Power BI, DAX, Power Query, or enterprise reporting solutions.


• Familiarity with government data governance and access controls.


• Experience building dashboards for senior leadership or operational stakeholders.


• Previous experience supporting military or federal data environments.


• Microsoft Power BI Data Analyst Associate (PL-300) or comparable certification.

Security: T-3 required under the PWS.