Top Remote Data & Analytics Jobs in Omaha, NE

Analyze consumer and macroeconomic data to develop insights on inflation, spending, sentiment, retail trends, and broader economic conditions. Create client presentations, written analyses, original research, and thought leadership using public and proprietary datasets. Support sales, consulting, marketing, Federal Reserve, and academic engagements; present findings to clients; design surveys; maintain reusable insights; and mentor associate economists.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Leads business intelligence, workflow automation, and data stewardship for financial risk operations. Builds governed Tableau and Power BI reporting environments, develops Python, SQL, RPA, and ETL solutions, analyzes trends, and delivers predictive insights. Maintains audit-ready controls, data integrity, version management, error handling, and compliance. Partners with stakeholders to modernize manual processes, improve efficiency, track operational performance, and scale self-service analytics.

Build and maintain Nex’s data backend, reporting infrastructure, and automated data pipelines. Partner with Accounting, Finance, Supply Chain, Publishing, and other cross-functional teams to understand data needs, prioritize projects, improve data access, and ensure reliable, cost-effective operations. Investigate issues, iterate on data workflows, and support data environments using AWS and related technologies.

Data Engineer II will modernize BlueLabs’ data platform by leading Kimball dimensional modeling and legacy warehouse migrations, building reliable production data pipelines, and enforcing data quality standards. The role requires advanced SQL, Python, and dbt expertise, hands-on Snowflake and Redshift experience, and ownership of testing, documentation, observability, and scalable architecture. The engineer will collaborate cross-functionally, guide Data Engineer I team members, contribute to architectural decisions, and translate business logic into maintainable, cloud-agnostic data layers.

Combines GIS, business intelligence, and commercial real estate strategy to support portfolio planning and location decisions. Develops ArcGIS maps, dashboards, data pipelines, reporting solutions, and portfolio analytics. Integrates and validates data from multiple sources, supports workplace and occupancy strategy, automates reporting, and creates client-ready plans and recommendations. Partners with transaction teams, brokers, account leaders, and clients to translate business requirements into actionable scenarios and executive-level insights.

Leads data intelligence for Medicaid, DSNP, and Marketplace procurement efforts. Analyzes claims, clinical, quality, network, operational, and competitive data; governs centralized repositories; develops proof points for RFPs; and provides strategic recommendations to proposal writers and growth leaders. Manages concurrent procurements, stakeholder relationships, reporting, continuous improvement, and staff development while supporting regulatory and competitive monitoring. Requires up to 40% business travel.

Own analytics and reporting solutions for acquisitions, product launches, and other complex business events. Translate business changes into data models, system updates, processes, and reporting definitions. Coordinate Data Engineering, Analytics, Data Science, and Data Governance teams; lead cross-functional execution and establish a Business Intelligence Council. Partner across GTM, Finance, Product, IT, and other functions to reconcile metrics, clarify ownership, and maintain business visibility.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Lead enterprise data engineering standards, governed pipelines, data contracts, observability, quality controls, lineage, testing, and compliant data delivery. Partner with governance, privacy, architecture, modeling, and platform teams to ensure reliable, traceable, protected data products. Monitor operational performance, automate deployment and validation, and resolve pipeline and data reliability issues across complex enterprise environments.