Top Entry Level Data & Analytics Jobs in Omaha, NE

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 Associate Business Services Analyst will analyze consumer data to drive process improvements and support technical teams through documentation and reporting, enhancing the consumer experience.

The Risk Management Analyst Program is a two-year early career development experience in fintech focused on risk management practices, analytics, and collaboration across various teams.

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.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

The role involves writing and deploying scripts for data collection, transforming data sets, diagnosing bugs, and collaborating with other engineers using agile principles.