Top Data & Analytics Jobs in Omaha, NE

Design, enhance, and sustain HR reporting, dashboards, and analytics products. Build scalable data pipelines, automate workflows, improve data quality and governance, and operationalize multi-source HR data (including Prism). Provide senior technical support, mentor analysts, and partner cross-functionally to deliver governed, actionable HR data solutions.

Lead development and delivery of enterprise risk adjustment analytics and BI solutions. Translate clinical, claims, and operational data into actionable provider and market-level insights, drive KPI reporting, modernize analytics via AI/automation, oversee BI platform strategy, and lead a team to support stakeholders across Risk Adjustment, Finance, Clinical, and IT.

Leads Pacific Life’s Operations Data Analytics function, setting strategy, governance, roadmaps, standards, and resource plans. Oversees reporting, dashboards, KPI standardization, data modeling, forecasting, predictive analytics, and executive insights. Partners with Operations Transformation, Technology, Finance, Risk, and business leaders to improve efficiency, customer experience, quality, and financial performance. Manages senior analytics professionals, capacity planning, prioritization, budgets, stakeholder adoption, data quality, and continuous improvement.

Participates in a 12-week internship analyzing and interpreting large datasets, cleaning and profiling data, identifying anomalies and trends, validating reports, improving processes, and supporting development of reporting, modeling, and analysis tools. Collaborates with Operations, Compliance, Marketing, and Finance teams on enterprise initiatives while exploring technologies and frameworks that improve efficiency.

Leads decision support and data analysis projects, translating business requirements into reporting applications and analytical solutions. Develops complex programs using SAS, R, SQL, and database technologies; models data sources and flows; creates analytical methods and performance measures; interprets statistical results; and presents recommendations to stakeholders. Mentors colleagues, supports data governance and security frameworks, and consults with internal and external business partners.

Administer and optimize IBM Db2 for z/OS production databases, including design, performance tuning, security, backup and recovery, utilities, upgrades, and disaster recovery. Support SQL Server, Azure SQL Managed Instance, data movement pipelines, DDF/DRDA connectivity, and ITIL operations. Maintain documentation, runbooks, audit support, and recovery procedures while mentoring developers and cross-training backup administrators. Participate in on-call rotations and collaborate across mainframe, data engineering, warehouse, application, and systems programming teams.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

Designs and optimizes Power BI dashboards, semantic models, datasets, DAX measures, and reporting solutions for identity governance and administration analytics. Partners with ETL engineers and stakeholders to validate Parquet data from Azure Synapse and SailPoint sources, establish data-quality checks, monitor refreshes, define KPIs, and document data lineage. Supports compliance reporting, access governance, audit readiness, certification metrics, and Zero Trust analytics.

Administer, secure, optimize, and maintain Oracle, SQL Server, and PostgreSQL databases across classified USSTRATCOM systems. Responsibilities include database installation, patching, performance tuning, access management, auditing, backups, recovery, failover, ETL, secure configuration, documentation, and incident response. The role requires collaboration with engineering and enterprise teams, compliance with DoD security frameworks, and technical leadership across Secret, Top Secret, and JWICS networks.

Designs, builds, and operates a scalable, multi-tenant data platform supporting analytics, reporting, and integrations. Responsibilities include developing data pipelines and CDC workflows, designing PostgreSQL schemas, maintaining dashboard data layers, provisioning customer data environments, applying infrastructure as code, monitoring data quality and performance, and resolving operational issues. The role partners with product, engineering, database administration, and infrastructure teams while documenting architecture and evaluating platform improvements.