Top Data & Analytics Jobs

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.

The Intelligence Analyst will exploit Full Motion Video and other intelligence sources, produce reports for government briefings, and participate in training related to intelligence operations.

The Sr Cartographer will manage geospatial data, perform QA/QC, create intelligence reports, and ensure cartographic standards are met while maintaining an active TS/SCI clearance.

Build and maintain high-performance ETL/ELT pipelines and data schemas to connect engineering and operations data. Develop Protobuf models and gRPC microservices, administer and optimize Postgres databases, deploy data tools in Docker/Kubernetes, and implement automated data quality tests to ensure reliable, production-ready data for users.

Design and implement analytic solutions to transform configuration data into actionable insights. Automate data collection from Oracle, Windchill, and TIPQA, build Power BI visualizations, perform statistical analyses, and recommend process improvements using RCCA and Lean while communicating findings to stakeholders.

Provide Regional Content Management and GEOINT support. Advise on data delivery methods, analyze data for enhancements, and develop workflows. Present instruction on GEOINT usage and maintain map services using ESRI Portal technology.

Lead configuration management analytics by architecting solutions, automating data collection, and ensuring data integrity. Mine and model data from Oracle, Windchill, and TIPQA, apply statistical methods, build Power BI visualizations, and recommend process improvements using RCCA and Lean to improve workflow efficiency and stakeholder decision-making.

Design and implement analytics and automated data collection for Configuration Status Accounting. Mine and model data from Oracle, Windchill, and TIPQA, produce Power BI visualizations, apply statistical analysis, and recommend process improvements using RCCA and Lean while communicating findings to stakeholders.