Top Data & Analytics Jobs in Lincoln, NE

Leads Navitus’s centralized analytics team, delivering client performance analysis, financial modeling, underwriting support, pricing analysis, competitive intelligence, dashboards, and strategic recommendations. Partners with Sales, Finance, Clinical, Network Strategy, Account Management, and technical teams to support client growth, retention, RFPs, renewals, and market-facing engagements. Establishes data quality and governance standards, improves analytical processes, and mentors team members.

Build and maintain scalable batch and incremental data pipelines using Python, SQL, and Snowflake. Develop data warehouse models, transformations, automation, quality checks, lineage, alerting, and performance optimizations. Collaborate with analysts, data scientists, and application teams to deliver trusted datasets, while documenting pipelines, schemas, and data contracts.

Leads the design, delivery, and optimization of data architecture, pipelines, semantic layers, data quality frameworks, and Tableau BI platforms. Partners with stakeholders to manage requirements, project plans, sprint execution, monitoring, governance, and release delivery. Guides data engineers, manages team members, and supports AI-enabled analytics capabilities. Requires strong SQL, Spark, PySpark, SSIS, cloud data platform, CI/CD, Tableau infrastructure, and data engineering expertise.

Designs and maintains a scalable data platform supporting analytics, machine learning, and AI workloads. Builds tooling for reliable data pipelines, semantic layers, data agents, LLM applications, and evaluation systems. Ensures data quality, availability, observability, and reliability while establishing modeling, testing, and platform best practices. Collaborates with Data Science and Product Engineering, leads solutions from design through implementation, and contributes individually in a fast-paced startup environment.

Leads advanced analytics across the organization, owning MAU forecasting and growth models, experimentation standards, and causal inference methods. Establishes analytical best practices, reviews high-stakes analyses, partners with data and product teams, and scales recurring work through AI tooling. Mentors data professionals and translates complex statistical findings into actionable leadership recommendations.

Lead the enterprise data governance program, roadmap, operating model, policies, standards, governance bodies, and owner/steward accountability. Build data domains, taxonomies, contracts, lineage, metadata, and audit controls across complex multi-brand platforms. Partner with Technology, Legal, Privacy, Security, Risk, Compliance, and business leaders to ensure trustworthy data for analytics and AI. Manage governance leads and communicate strategy, risks, and recommendations to senior executives and auditors.

Analyzes workforce and business data, investigates customer questions, ensures data quality, prepares reporting deliverables, and presents actionable insights. Partners with customers and internal teams to manage multiple projects and priorities. Develops Python and SQL-based tools and automations to streamline recurring processes while documenting methodologies and resolving data discrepancies.

Own the technical design and operation of Palmetto’s governed data platform. Build trusted data products, semantic models, ingestion and transformation pipelines, secure access interfaces, and agent-ready data services. Establish governance, masking, authorization, observability, CI/CD, and audit readiness. Partner with finance, operations, product, and engineering teams while mentoring engineers and setting cross-team technical direction.

Build executive-facing dashboards, scalable data models, semantic layers, and reporting datasets using dbt, Looker, and SQL. Analyze large datasets, identify trends and anomalies, manage the Looker analytics platform, resolve data quality issues, and deliver analytics initiatives across business domains. Partner with product, engineering, finance, and operations stakeholders to define metrics and reporting solutions. Mentor junior analytics engineers and improve analytics standards and documentation.

Analyze product funnels and user behavior to identify growth opportunities, improve customer and business outcomes, and guide product decisions. Partner with product, design, engineering, and analytics teams to track hypotheses, report key metrics, reconcile data discrepancies, maintain analytics and experimentation catalogs, and communicate actionable insights. The role requires strong SQL, visualization, experimentation, and cross-functional communication skills in a fintech or e-commerce environment.