Top Data & Analytics Jobs in Omaha, NE

The role involves extensive project phases, including requirement gathering, system configuration, data migration, and HCM Cloud expertise, particularly with BI Reports and HDL.

The Senior Manager-Quality Engineering & Automation will lead quality engineering practices, oversee testing frameworks, manage teams, and promote automation and quality excellence in software delivery.

Design, build, and maintain scalable GCP-based data pipelines and analytic data products. Transform diverse source systems into curated, business-ready datasets, ensure data quality and governance, and partner with stakeholders to translate requirements into production data solutions. Mentor intermediate contributors and lead assigned project efforts.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

The Senior Data Systems Manager will manage database systems, perform maintenance, enhance data solutions, and mentor team members while ensuring security compliance.

The Meteorologist will analyze weather data, prepare forecasts, create graphics, and produce multi-platform content, focusing on severe weather reporting.

Senior analyst responsible for full-stack development and database administration supporting AI/ML operations. Requires application architecture and IIS administration, Agile team participation, and strong Office/VBA automation skills. Must hold active TS/SCI and work onsite at Offutt AFB.

The role involves applying operations research and systems analysis to support ISR missions, providing expert analysis and translating complex data into actionable insights for decision-making.

Serve as liaison between business stakeholders and IT to analyze needs, document requirements, recommend system improvements, support design/testing/implementation, train end users, and use analytics and AI-driven insights to improve processes and decision-making.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.