Top Data & Analytics Jobs in Lincoln, NE

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

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.

Build and operate production data pipelines, CDC streams, and Snowflake Bronze-layer infrastructure using Python, SQL, Redpanda, and Dagster. Maintain source adapters, historical snapshots, schema-drift detection, deduplication, data-quality checks, reconciliation, and observability. Collaborate on Silver-layer modeling, governance tagging, CI/CD, containerization, and HVR-to-Redpanda migration. Participate in incident response and develop deeper ownership of orchestration, streaming, data governance, and dbt-based layered modeling.

Analyze business data using SQL and BigQuery, build Looker dashboards and recurring reports, and translate stakeholder questions into actionable insights. The role partners with Marketing, Sales, Product, Operations, and Finance, communicates findings to technical and non-technical audiences, follows data governance standards, and contributes to scalable self-service analytics and reusable documentation.

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.

Supports Judicial Branch business applications through database analysis, system development, implementation, maintenance, and user support. Duties include help desk operations, analyzing system processes, coordinating database and application modifications, monitoring data accuracy and system performance, developing implementation strategies, preparing reports and user manuals, evaluating IT products, and training staff. The role also assists with IT planning, policy development, data administration, and resolving database-related issues for field personnel.

Build and maintain scalable data pipelines, transformations, data models, and cloud data architectures using Azure Data Factory, Databricks, and SQL Server. Ensure data quality, governance, security, reliability, and performance while supporting analytics and reporting. Collaborate with technical and business stakeholders, contribute to CI/CD and platform modernization, document data solutions, and troubleshoot complex data issues.