Data Analyst, Consultant

ASI Government, Inc.

5h•Hybrid

About The Position

The Data Analyst will serve as a foundational member of a rapidly growing AI and Data practice, responsible for building trusted, structured, and analytics-ready datasets and transforming these data sets into actionable insights, dashboards, and decision support tools. The initial assignment supports the Navy Portfolio Acquisition Executive (PAE) mission, leading mission and Industrial Base data enablement efforts. This position focuses first on data readiness and reliability—turning fragmented, program-level data into trusted, structured, and tool-ready assets—while offering a clear path to grow into higher-order analytics and AI work. The Data Analyst acts as a trusted Technical Consultant, partnering directly with customers and driving ASI’s data analysis efforts across a range of projects.

Requirements

Masters Degree in Data Science, Analytics, Statistics, or related field
5–10 years of experience in data analysis, business intelligence, or analytics consulting
Experience supporting Federal defense, industrial base, or acquisition analysis
Experience working with multi-source, program-submitted datasets
Strong SQL skills and experience querying relational databases
Experience developing dashboards and executive-level visualizations
Proficiency in Excel and data analysis tools (e.g., Python, R, or similar)
Experience translating technical analysis into executive-facing insights
Familiarity with cloud-based data environments (AWS, Azure, GCP)
Exposure to AI/ML concepts and analytics-driven modernization efforts
Active Secret clearance
Willingness to travel to Pax River, MD

Nice To Haves

Experience supporting organizational transformation initiatives
Experience building KPI frameworks in complex organizations

Responsibilities

Identify, inventory, and map mission-critical data sources across Navy programs and stakeholders
Ingest and consolidate Industrial Base and mission data across program offices
Clean, normalize, and categorize raw data into consistent data structures and taxonomies
Design and maintain repeatable data pipelines for updates and refresh cycles
Define schemas, validation logic, and quality checks to produce trusted data
Prepare datasets for ingestion into PAE tools and digital platforms
Document sources, assumptions, and transformations for downstream use
Analyze portfolio-level acquisition and Industrial Base data to identify trends, risks, bottlenecks, and performance indicators
Translate complex data findings into clear, concise briefings and decision memos
Identify data gaps, inconsistencies, and analytic limitations; recommend improvements
Conduct ad hoc analyses to support emerging leadership questions and urgent mission needs
Validate analytical outputs to ensure accuracy, consistency, and mission relevance
Create visualizations /Document analytical results
Support dashboard and visualization development
Prepare analytics-ready datasets for AI/ML solutions
Contribute to shared data standards, reusable pipelines, and best practices
Participate in solution design to ensure data architecture supports current and future analytics/AI use cases