Top Data & Analytics Jobs in Lincoln, NE

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.

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

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.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

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.

Analyzes Medicaid claims and eligibility data, combines multiple data sources, prepares statistical and regulatory reports, develops database queries, creates presentations, and supports data-driven decisions for agency leadership, stakeholders, and service providers. The role also applies statistical methods, interprets state and federal standards, and collaborates with analytics teams on projects serving vulnerable populations.

Lead discovery workshops, author testable user stories, document end-to-end workflows and data lineage, define/enforce data standards and stewardship, own data dictionary, validate data readiness before go-live, identify regulatory data obligations, participate in Data Governance Council, and serve as the business systems analyst for CRM platforms.

Configure and implement business strategies into marketing decision engines; design and develop operational initiatives, support testing and triage, translate requirements into decision logic, collaborate with Product, Marketing, Risk, and Technology teams, and use SQL/Python/SAS and decisioning platforms to enable cross-channel targeting and eligibility.

Serve as an analytics partner to business units to define problems, scope projects, perform in-depth analysis, and deliver actionable insights. Lead technical execution with data engineers/scientists, build dashboards in Looker, apply statistical methods and A/B testing, and drive data literacy and process improvements across the company.