Top Data & Analytics Jobs in Omaha, NE

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.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Leads complex data and reporting solutions across the product lifecycle. Partners with customers, engineers, architects, vendors, and project teams to gather requirements, build datasets, reports, and dashboards, analyze business problems, manage testing, resolve defects, assess risks, and deliver improvements. Provides subject matter expertise, strategic direction, customer communication, cost-benefit analysis, compliance oversight, and mentorship to data analysts.

Performs complex commercial insurance data analysis, develops business recommendations, improves reporting processes, communicates insights to partners and senior management, and supports strategic initiatives. The role requires strong statistical, analytical, coding, and data visualization skills, along with insurance knowledge, cross-functional collaboration, mentorship, and occasional travel.

Support banking data and analytics by extracting, validating, organizing, and analyzing operational and customer data. Identify trends and anomalies, reconcile discrepancies, monitor data quality, and prepare summaries, tables, visualizations, recurring reports, dashboards, and ad hoc analyses for business and compliance stakeholders. Document data sources, assumptions, and methodologies while following regulatory, data-handling, and reporting standards.

Scout collegiate basketball games from the arena using proprietary software to quickly and accurately identify and record basketball information throughout each game. Responsibilities require reliability, punctuality, communication, basketball knowledge, smartphone use, transportation to the stadium, and sustained concentration. The role is primarily part-time, paid per game, with flexible scheduling during the October-to-April contract period and potential incentives for recruiting, extra coverage, travel, holiday games, and at-home work.

Analyze IT business processes, gather and document requirements, interpret data, identify efficiency improvements, and recommend AI and automation opportunities. Assist with business cases, presentations, workflow documentation, and the design, testing, prototyping, and implementation of AI solutions using Microsoft Copilot Studio. Collaborate with business, technology, leadership, and project teams while gaining experience in process improvement, digital transformation, and emerging technologies.

This internship provides hands-on experience in data science, analytics, and governance. Responsibilities include analyzing health data, creating visualizations and business insights, supporting data quality and metadata management, applying analytics technologies, and collaborating with business teams. Interns will learn Agile practices and explore topics including cloud technology, AI/ML, ethical AI, and responsible data use.

Summer 2027 data management internship focused on analyzing business processes, identifying automation and AI opportunities, building dashboards and reports, developing proof-of-concepts, and translating operational challenges into technical solutions. The intern will use tools such as Power BI, Microsoft Fabric, Databricks, Power Platform, Copilot, SQL, and Python while presenting recommendations to business and technology leaders.