Data Insights & Visualization Specialist

Peraton•Aberdeen Proving Ground, MD

3d•$86,000 - $138,000•Remote

About The Position

Peraton is seeking an experienced Data Insights & Visualization Specialist for a remote role supporting TDAC at APG, Maryland. The specialist will turn complex data into actionable business insights by developing interactive dashboards, automated reporting solutions, predictive analytics, and AI-powered capabilities. The role uses Microsoft Power BI, SQL, Microsoft Fabric, Azure technologies, generative AI, and machine learning to improve reporting and operational efficiency, identify trends, and support strategic decisions. The specialist will support cross-functional members of the Sustainment Modernization Data Analysis Team, delivering automation and visualization across customer processes and standards. The role translates business requirements into data-layer designs and reporting solutions, explains design decisions to business and technical audiences, and collaborates with technical stakeholders across Peraton and its government customer. The specialist will also identify opportunities to apply AI and machine learning and ensure reporting and analytical solutions meet data accuracy, security, integrity, governance, and compliance needs.

Requirements

Bachelor's degree and five years of experience in Data Science, Data Analytics, Business Analytics, Business Intelligence, Statistics, Data Engineering, or a related field; relevant years of experience may also qualify.
U.S. citizenship.
Active DoD Secret Clearance.
Advanced knowledge of business intelligence, data analysis, data profiling, and data visualization development.
Advanced hands-on experience designing, developing, and maintaining interactive dashboards, analytical reports, self-service reporting tools, and ad-hoc reporting solutions using Microsoft Power BI.
Experience managing data flows, filters, and reporting workflows that leverage enterprise data warehouses.
Advanced knowledge of DAX, including complex measures, calculated columns, time intelligence, and analytical calculations.
Experience optimizing report performance, data models, DAX calculations, and refresh processes.
Experience with data engineering or data integration products such as ETL, BigQuery, SQL, Python, or Alteryx.
Experience using AI-powered tools to improve data analysis, reporting, and business decision-making.
Ability to translate complex business requirements into meaningful dashboards, reports, and actionable insights.
Knowledge of Army maintenance and logistics processes, GCSS-Army, Palantir Foundry, or Army Vantage.
Ability to travel to customer sites or other locations as needed to meet project goals.

Nice To Haves

Master's degree and three years of experience in Data Science, Data Analytics, Business Analytics, Business Intelligence, Statistics, Data Engineering, or a related field.
Microsoft Certified: Power BI Data Analyst Associate (PL-300) certification or equivalent.
Experience with Power BI deployment pipelines, source control, and development lifecycle management.
Experience integrating Microsoft Copilot capabilities into Power BI and Microsoft Fabric environments.
Ability to derive key insights from data and explain them to cross-functional teams in the context of business challenges.

Responsibilities

Deliver automation and visualization across customer processes and standards.
Analyze business requirements and translate them into data-layer designs that provide meaningful insights based on best practices.
Design, develop, and deliver reporting instruments, dashboards, and ad-hoc solutions using BI tools, including semantic layers, analytics, dashboards, and report definitions.
Explain the rationale for design decisions to user groups ranging from business to technical audiences.
Collaborate with Data Architects, Data Modelers, ETL Developers, Enterprise Architects, BI Developers, Project Managers, Platform Architects, and Data Science Managers on large-scale data analytics and BI solutions.
Work with Peraton and government customer resources to provide scalable, automated solutions.
Identify opportunities to use artificial intelligence and machine learning to enhance business intelligence capabilities.
Ensure data accuracy, data flow, security, integrity, governance, and compliance across reporting and analytical solutions.