Top Entry Level Data & Analytics Jobs in Greensboro, NC

Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.

FTI's Skills Accelerate program hires recent graduates as Technology Consultants or Advanced Analytics Researchers to learn e-discovery, digital forensics, advanced analytics, and document review. Consultants work on client-facing engagements across investigations, litigation support, data privacy, and project management, receiving coaching and formal development and potential full-time placement post-graduation.

Conduct public records research (county recorder/assessor/GIS) to identify home sales and parcel owners for new-home communities, update the company database, and report findings via a web portal to a Regional Research Manager. Part-time, remote role with flexible schedule.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

SAPSOL Technologies is hiring SAP consultants, preferably trained and preparing for certification, to work on their SPIL project, offering hands-on experience.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Provide entry-level actuarial support for Medicaid risk adjustment: maintain and calibrate risk models, estimate risk scores, analyze financial impact, produce reports, and recommend program improvements while collaborating with technical and non-technical stakeholders.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.