Top Data & Analytics Jobs in Omaha, NE

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.

This role oversees data-related risks ensuring compliance with enterprise standards, evaluates controls, develops risk processes, and leads governance efforts.

Lead analytics projects to analyze data, create reports, and deliver actionable insights to support business decisions and improve supply chain operations.

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

Lead analytics efforts by designing, validating, and deploying queries and reports, building visualizations, automating data processes, partnering with stakeholders including C-suite, documenting processes, performing root-cause analysis, and supporting projects across business, operations, and risk. Responsible for data warehousing practices, SQL/Python work, BI tool administration, and delivering insights to drive decision-making.

The Business Analyst will manage compliance, contracts, and onboarding projects while improving processes and liaising with departments. Requires financial services experience and project management skills.

Design and build automated solutions, integrations, and data pipelines to eliminate manual operational work. Develop Python scripts and REST API integrations, write SQL for investigations and reports, document workflows and runbooks, monitor production automations, and partner with Operations, Engineering, and Data teams to prioritize and deploy reliable, observable automation.

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.

As the Client Insights Lead Analyst, you will create analytics strategies, lead data analysis, collaborate with teams, and communicate insights to clients effectively.

Own and improve the dbt modeling and semantic layers, implement CI/CD, tests, observability, and governance; build governed metrics for BI and AI consumption; partner with Data Engineering and Risk to stabilize pipelines and improve data quality and documentation.