Top Data & Analytics Jobs in Lincoln, NE

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.

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.

Senior Business Insights Analyst partners with executives and cross-functional teams to transform operational, financial, and customer data into actionable insights. The role develops business cases, forecasting tools, KPI frameworks, executive dashboards, performance scorecards, and data governance practices. Responsibilities include strategic and operational analysis, scenario modeling, performance monitoring, executive presentations, and improving enterprise reporting and decision-support capabilities.

Analyzes operational and financial data to support strategic decisions, improve processes, develop predictive models, and promote data-driven practices. Builds ETL workflows, dashboards, metrics, controls, and repeatable analytics while ensuring data quality. Reconciles premium revenue and receivables, evaluates model performance, identifies business risks and opportunities, and communicates insights to technical and non-technical stakeholders. Partners with IT and business teams on algorithms, data models, and process improvements.

Architects and develops enterprise-scale data platforms, schemas, models, pipelines, and integration solutions. Builds cloud-native data solutions, ETL/ELT frameworks, API integrations, and automated ingestion processes. Leads SQL development, database performance tuning, query optimization, data governance, and business intelligence enablement. The role requires expertise in Power BI, DAX, Power Query, data modeling, and multiple BI tools, with preferred knowledge of disputes, chargebacks, fraud operations, and case-management systems.

Lead a team delivering product and business analytics for Fetch's commerce and shoppable experiences. Own prioritization, experimentation, measurement, KPI dashboards, and stakeholder-facing insights to inform product, marketing, and commercial decisions. Manage and develop analysts while partnering cross-functionally to ensure data quality, repeatable analyses, and actionable recommendations.

Build and maintain scalable Snowflake-based ELT/ETL pipelines, production data models, and observability frameworks. Translate business requirements into reliable solutions supporting analytics, BI, and ML. Establish data quality, governance, lineage, security, and compliance practices while optimizing warehouse performance, cost, and data freshness. Collaborate with Analytics, Product, and Engineering teams, contribute to architecture decisions, evaluate Snowflake tooling, and use AI-assisted development tools to accelerate delivery.