Top Senior Data & Analytics Jobs in Omaha, NE

Serve as an analytics partner to business units to define problems, scope projects, perform in-depth analysis, and deliver actionable insights. Lead technical execution with data engineers/scientists, build dashboards in Looker, apply statistical methods and A/B testing, and drive data literacy and process improvements across the company.

The Senior Data Engineer will design, implement, and manage data pipelines for real-time analytics and ML training datasets, ensuring efficient data flow and quality in a hybrid environment.

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

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.

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.

Lead strategy, development, and operations of the enterprise data platform. Drive DataOps and MLOps adoption, automation with IaC, oversee cloud data operations, mentor engineers, ensure security and governance, and optimize data integration, ETL/ELT, and platform performance.

The Senior Actuarial Analyst will conduct analyses, provide actuarial insights, mentor junior actuaries, and influence management decisions in underwriting and profitability.

Lead and grow an analytics engineering team to build a trusted semantic metrics layer, scalable dimensional models, and governance. Partner cross-functionally to deliver reliable data products, improve pipelines and observability, set technical standards, and enable self-service analytics, experimentation, and ML while balancing scalability and business impact.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.