Top Data & Analytics Jobs

The role involves gathering requirements for BI and data projects, providing documentation and support, and analyzing data to facilitate decision making and system improvements. The candidate will liaise between business units and IT, support application deployments, and drive transformation projects.

The SAR Imagery Scientist Lead will provide technical direction in SAR imagery, manage teams, and conduct analytical tasks to support ML algorithm development.

The EO Imagery Geospatial Analyst/Scientist provides geospatial expertise, conducts assessments, analyzes data formats, and supports ML algorithm testing.

The Data Engineer will design data models, build data warehouses and lakes, automate data pipelines, and enable data accessibility while maintaining security standards in a complex environment.

The Senior Principal Data Analytics Engineer will lead transformations in data architecture and analytics, focusing on high-quality, accessible data for decision-making, while collaborating with teams, ensuring governance, and optimizing performance.

Provide reporting and real-time analytics for a 24x7 Tier II Service Desk. Write T-SQL against Microsoft/warehouse databases, build SSRS reports, validate results, and partner with leadership on ad-hoc and scheduled reporting. Onsite in Columbia, SC, and must be eligible for Secret clearance.

The Sr. Analytic Methodologist will oversee production assignments, improve business processes, use analytic modeling and GIS, and ensure timely communication within the Intelligence Community.

The Portfolio Chief Engineer will lead design and implementation of Data and Analytics Systems, working with customers and engineering teams to generate innovative solutions, engage in business development, and ensure technical excellence in large-scale information management.

Design and implement data cleaning, preprocessing, integration, and quality checks. Develop dashboards and complex visualizations (Tableau/Power BI). Apply AI/ML techniques for unstructured data analysis and provide data engineering support for visualization and analytics.

Design and implement ETL pipelines, optimize data systems, build data warehouses, and develop AI/ML models for data solutions. Collaborate with teams to deliver data-driven products and ensure data quality and governance.