Top Data & Analytics Jobs in Omaha, NE

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Supports, maintains, and enhances database systems across operating environments. Performs database administration, performance optimization, upgrades, monitoring, backup and recovery, troubleshooting, architecture documentation, and data quality improvements. Collaborates with cross-functional teams to support analytics, AI, data science, and model-training initiatives. Helps oversee command laboratory environments and contributes to database planning, process improvement, and data management practices.

Design, build, optimize, and maintain scalable batch and real-time data pipelines, data models, schemas, and storage systems. Ensure data quality, reliability, performance, and secure delivery across platforms. Collaborate with data scientists and analysts, troubleshoot data systems, evaluate emerging technologies, and mentor junior engineers. The role is onsite in a SCIF supporting STRATCOM and requires Top Secret/SCI clearance.

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.

Create and maintain item master data, bills of material, and manufacturing routes in corporate systems. Identify and correct data quality issues, enforce data policies, verify product and labor costs, support engineering and manufacturing changes, and collaborate across functions to ensure accurate data integrity. The role requires strong mathematics, specification interpretation, communication, and computer skills.

Lead migration to a Databricks lakehouse using dbt, design ELT pipelines, improve ingestion reliability, establish data quality and governance, and build analytics- and AI-ready datasets. The role owns platform architecture, access controls, monitoring, documentation, data contracts, and legacy-system retirement. It partners with engineering, data science, AI, analysts, and business stakeholders while mentoring engineers and influencing technical standards.

Manages enterprise data governance policies, standards, KPIs, maturity assessments, data quality processes, stewardship programs, information maps, business glossaries, metadata, and data assets. Administers and expands the Collibra data governance environment, collaborates with data owners and stewards, trains stakeholders, and reports initiative progress to governance councils and management.

The Data Analytics Intern will support analytics, reporting, process improvement, and strategic insight initiatives. Responsibilities include extracting, transforming, and interpreting datasets; learning enterprise data warehouse and BI architecture; collaborating in an Agile environment; and presenting internship project outcomes. The role also includes leadership exposure, mentorship, teamwork, and a capstone presentation.