Top Data & Analytics Jobs in Omaha, NE

Design and govern an enterprise cloud data platform and integration pipelines (primarily Snowflake). Define data models, medallion layers, and standards; build ELT/ETL pipelines, CDC/event-driven ingestion, data quality, metadata, and lineage. Partner with business stakeholders, mentor engineers, and provide architectural oversight to support analytics, reporting, and operational use cases.

Design, develop, and maintain BI solutions and dashboards using Domo and related platforms. Gather and consolidate data from multiple sources, ensure data quality and governance, build semantic models for AI readiness, automate reporting, collaborate with stakeholders, and document technical designs and processes while supporting existing BI applications.

Ensures enterprise data accuracy, availability, integrity, and reliability across databases and pipelines. Responsibilities include monitoring systems, optimizing pipelines, implementing data quality and governance standards, managing backups and recovery, automating maintenance, troubleshooting incidents, supporting compliance, developing validation tests, and preparing reports and authorization artifacts. The role collaborates with data engineering, platform, application, cybersecurity, and government teams while maintaining adherence to DoD policies.

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.

Manage, cleanse, validate, and analyze catastrophe exposure data across insurance and reinsurance lines of business. Apply policy conditions, model natural catastrophe perils using catastrophe modeling software, assess model outputs, and incorporate reinsurance structures into exposure management. Collaborate with colleagues to support comprehensive catastrophe risk assessment. The role requires property catastrophe modeling experience, insurance knowledge, strong analytical skills, and proficiency with SQL Server, Excel, and automation tools.

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

Designs, builds, optimizes, and tests Snowflake lakehouse architecture and ETL/ELT pipelines integrating Salesforce, marketing, and business data. Develops Bronze, Silver, and Gold data models, semantic layers, and datasets for Power BI, analytics, and AI initiatives. Implements data quality and governance procedures, maintains Git repositories, documents architecture, leads solution design, reviews code, mentors engineers, and communicates technical solutions to stakeholders.

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.

Manage data coordination, integration, governance, quality assurance, and documentation for Institutional Division stakeholders. The role supports data architecture, source-of-truth repositories, product implementation, validation controls, data cleansing, exploratory analysis, reporting insights, user training, and collaboration with Data and IT teams. Candidates should understand data management lifecycles and possess strong analytical, communication, prioritization, and stakeholder coordination skills, with insurance or actuarial product knowledge preferred.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.