Top Remote Analysis Reporting Jobs in Greensboro, NC

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Business Analyst will manage the Quote-to-Cash lifecycle, liaising between IT and functional teams, and ensuring successful implementation of system updates while documenting requirements.

The role involves designing and developing customizations for IBM Infosphere MDM, focusing on data management architecture and multi-domain solutions.

The Director will lead operational analytics for physician organizations, ensuring data integrity for decision-making and delivering reporting packages, while managing staff and strategic alignment with organizational goals.

Lead the data architecture function for Data Management to enable data-driven strategies, manage governance, and ensure successful data management initiatives.

Lead the design and delivery of enterprise-scale knowledge graph solutions for the U.S. Government, focusing on architecture, operationalization, and integration of complex data systems.

As a UX Research Intern, you will assist in user research, data collection, and analysis to improve product experiences for children.

Design and maintain cloud data lake architecture, build ingestion and transformation pipelines from SaaS sources, enable analytics and BI (Tableau/Looker), enforce governance, and lead technical direction across teams.

Lead the data management strategy and team to design, build, and maintain scalable ETL pipelines and data infrastructure. Implement data governance, ensure data quality, optimize performance using tools like Airflow, Iceberg, Trino, and Spark, and collaborate with cross-functional teams to make data accessible and actionable.

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.