Top Data & Analytics Jobs in Lincoln, NE

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

Use statistical modeling, data analysis, and visualization to generate actionable insights that improve loan origination and production. Collaborate cross-functionally to design, test, and implement data-driven strategies, maintain data integrity, and communicate results to stakeholders to influence business decisions.

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

Lead healthcare data analysis and quality efforts across claims, pharmacy, and enrollment data. Translate business needs into technical requirements, build complex queries, recommend process and data improvements, manage projects, and mentor team members while liaising between operations, R&D, and IT.

The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

As a Data Analyst Intern, you will collect, analyze, and interpret data, create visualizations, and support reporting efforts to drive business decisions.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.