Top Entry Level Data & Analytics Jobs in Las Vegas, NV

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

The Data Entry position requires inputting, updating, and managing data efficiently across various systems, ensuring accuracy and reliability.

Assist Asset Managers with cash flow models, underwriting loans, conducting property and market analysis, and preparing reports. Perform site inspections and manage asset disposition.

The Revenue Management Analyst I is an entry-level position focused on maximizing revenue for scheduled flights through pricing and yield management, alongside data analysis and forecasting.

Participants will attend a 90-minute session to record 20 short video clips performing simple actions for AI technology training.

GIS analysts and geospatial experts will use QGIS for tasks like data loading, spatial analysis, and map creation while following instructions and recording their screen.

The role involves using econometric tools for data analysis, conducting statistical tests, and preparing outputs, while recording the process for AI training.

The Commercial Management Analyst will leverage data analytics, predictive modeling, and business intelligence to drive price predictions and strategic business insights across market regions.

The Data Engineer supports supply chain outcomes by building and maintaining data pipelines, designing data transformations, and collaborating with stakeholders to improve order-to-cash processes.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

As a Data Curation Specialist, you'll collaborate with teams to source, create, and label data for AI systems, specifically for security models.