Top Remote Data & Analytics Jobs in Omaha, NE

Leads actuarial technology and reporting initiatives, expanding adoption of the Actuarial Technology Platform. Designs and implements process improvements for financial reporting and pricing, develops process maps, supports legacy actuarial solutions, and promotes AI-enabled analytics. Collaborates with actuarial data, enterprise analytics, and platform teams while providing technical leadership, governance, issue resolution, training, and mentorship.

Analyze, clean, validate, and interpret data to identify trends and actionable insights. Develop SQL queries, maintain databases and Excel workbooks, calculate financial KPIs, collaborate with stakeholders, gather business requirements, and present recommendations to nontechnical audiences. The role supports Finance Analytics and contributes to building a new data ecosystem.

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Research and monitor political news, government sources, candidates, officeholders, and elections. Update Ballotpedia articles and databases, verify data accuracy, conduct jurisdictional research, write and proofread neutral content, maintain tracking spreadsheets, and collaborate across teams. The role requires strong political knowledge, organization, communication, project management, attention to detail, and flexibility for occasional evening and weekend work.

Build and maintain data models, pipelines, metrics, dashboards, and analytics supporting Netflix’s advertising identity graph, entity matching, and identity resolution systems. Evaluate match quality, coverage, graph stability, and data drift; collaborate with engineering, data science, product, and identity providers; and communicate technical insights and trade-offs to technical and non-technical stakeholders.

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.