Logistics Data Analyst

Booz Allen Hamilton is seeking a Logistics Data Analyst to work collaboratively within a team to manage and enhance data quality and asset management. The role involves analyzing operational activities, maintaining data integrity, and providing recommendations based on data analysis and research to support organizational goals.

Responsibilities:

• Analyze operational activities to obtain a quantitative, rational basis for decision-making and resource allocation
• Conceptually understand and convey complex topics related to data management, data governance, and data maturity to stakeholders and leadership
• Work with subject matter experts (SMEs) across organizations to collect and update business and technical metadata
• Reverse-engineer data models and other design or build artifacts to extract relevant business and technical metadata, and load into a metadata repository
• Review submitted data to detect data quality problems and anomalies, and assist with correcting current and historical data
• Perform analysis to determine how data can best be applied to benefit stakeholders
• Develop ETL routines to load and curate disparate data sets
• Analyze and reverse-engineer business and technical artifacts, including data models, data catalogs, design documentation, and interfaces
• Collaborate with functional and technical data stewards to present findings and provide recommendations
• Perform data quality assessments and develop data profiles to improve the integrity of enterprise data