Top Data & Analytics Jobs in Lincoln, NE

Designs and maintains reliable data pipelines and processing systems for high-volume telecommunications and digital evidence data. Builds data infrastructure supporting AI models and analytics, develops schemas and data models, optimizes performance and scalability, and monitors data quality. Collaborates with AI, data science, and software engineering teams, documents architecture, and follows secure practices for sensitive law enforcement data.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake. Architect data foundations to power AI and LLM-enabled workflows, operationalize core SaaS metrics, and build reusable data assets for analytics and activation. Partner cross-functionally to embed analytics into workflows and ensure scalable, secure architecture.

Monitors customer decisioning strategies, evaluates performance against expected outcomes, and identifies variances. Develops KPIs, dashboards, reports, and analytics for strategy owners, governance forums, audits, and regulatory requests. Performs segmentation, cohort analysis, and experimentation, using SQL, Tableau, and Python to deliver insights and support strategic course corrections. Collaborates cross-functionally on model and strategy changes while maintaining governance, documentation, and regulatory traceability.

Build and scale secure data lakehouse and warehouse infrastructure supporting analytics, machine learning, clinical AI performance monitoring, and self-service insights. Develop scalable data pipelines, models, orchestration, quality controls, and LLM-enabled analytics tools using heterogeneous clinical and EHR data. Collaborate with engineering, data science, clinical, product, and client success teams to establish trustworthy metrics and technical solutions.

Design and maintain enterprise semantic models, ontologies, taxonomies, and knowledge graphs. Define business concepts and metadata standards, map technical data to shared definitions, and partner with data architecture, engineering, governance, AI, and business teams to enable discovery, analytics, and AI-ready semantic solutions.

Designs, develops, tests, and deploys scalable batch and streaming data pipelines using Databricks, Python, SQL, and PySpark. Builds ingestion, transformation, governance, monitoring, and data quality frameworks across Azure or AWS environments. Develops analytical data models and CI/CD processes, optimizes Spark performance, troubleshoots deployments, and collaborates with data scientists, analysts, business users, and technical teams. Provides technical leadership, mentoring, documentation, and support in an agile consulting environment.

Leads data operations and governance for a large cloud modernization program. Oversees data platforms, pipelines, integrations, analytics environments, incidents, service requests, releases, performance, resilience, and data quality. Coordinates cloud, engineering, application, cybersecurity, and infrastructure teams; maintains operational documentation, dashboards, metrics, and risk logs. Partners with governance and engineering teams to implement metadata, lineage, stewardship, automation, CI/CD, observability, and SRE practices. Leads personnel, manages escalations, briefs executives, and drives continuous operational improvement.

Manage enterprise metadata, business glossaries, data catalogs, and end-to-end data lineage for a federal case management modernization program. Configure governance and metadata platforms, integrate data sources and pipelines, establish standards and workflows, monitor metadata quality, support compliant data sharing, develop governance metrics, document procedures, and train data stewards and business users.

Designs scalable ETL/ELT pipelines, analytics-ready data models, and executive dashboards using Python, SQL, Tableau, Power BI, and cloud tools. Performs data mining, modeling, validation, documentation, and reporting while collaborating with technical and business stakeholders. Provides mentorship and technical guidance on analytics engineering, workflow automation, and data best practices. The role is fully remote, requires U.S. citizenship, and requires or permits obtaining Public Trust and Top Secret eligibility.

Develop and maintain Power BI dashboards, reports, KPIs, and business systems supporting commissioning, quality, and infrastructure projects. Gather requirements, improve workflows and data quality, coordinate user acceptance testing, manage enhancement requests, and validate reporting accuracy. Collaborate with operational, engineering, construction quality, and regional stakeholders to support governance, project readiness, issue tracking, and data-driven decision-making. Create documentation, training materials, and communications for system releases and reporting changes.

Designs, develops, and supports supply chain reporting, analytics, and AI-assisted workflow solutions. Responsibilities include building Power BI dashboards, Snowflake data and semantic models, DAX measures, Power Query transformations, KPI visualizations, workflow solutions, data validation, technical documentation, deployment support, and stakeholder engagement across procurement, inventory, warehousing, logistics, and supplier processes.

Build and maintain data pipelines, SQL queries, data models, database structures, and centralized data warehouse capabilities. Clean and validate data, develop reporting datasets and solutions, support KPI tracking and historical analysis, and collaborate with Finance and Revenue Operations. Investigate data gaps, troubleshoot integrations, and independently deliver reliable technical solutions.