Top Analysis Reporting Jobs in Lincoln, NE

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

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.

Administer and support IBM z/OS and LUW DB2 environments, including database changes, reorganizations, statistics, data loads, backups, recoveries, query troubleshooting, and performance maintenance. Develop Java, REXX, and Python scripts for database administration, support SQL development, and maintain Microsoft SQL Server environments. This is a full-time, permanent, on-site role with occasional off-hours support in Lincoln, Nebraska.

Build and operate production data pipelines, CDC streams, and Snowflake Bronze-layer infrastructure using Python, SQL, Redpanda, and Dagster. Maintain source adapters, historical snapshots, schema-drift detection, deduplication, data-quality checks, reconciliation, and observability. Collaborate on Silver-layer modeling, governance tagging, CI/CD, containerization, and HVR-to-Redpanda migration. Participate in incident response and develop deeper ownership of orchestration, streaming, data governance, and dbt-based layered modeling.

Analyze business data using SQL and BigQuery, build Looker dashboards and recurring reports, and translate stakeholder questions into actionable insights. The role partners with Marketing, Sales, Product, Operations, and Finance, communicates findings to technical and non-technical audiences, follows data governance standards, and contributes to scalable self-service analytics and reusable documentation.

The Senior Data Engineer will design, implement, and manage data pipelines for real-time analytics and ML training datasets, ensuring efficient data flow and quality in a hybrid environment.

Build and maintain scalable data pipelines, transformations, data models, and cloud data architectures using Azure Data Factory, Databricks, and SQL Server. Ensure data quality, governance, security, reliability, and performance while supporting analytics and reporting. Collaborate with technical and business stakeholders, contribute to CI/CD and platform modernization, document data solutions, and troubleshoot complex data issues.

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.

Build and own production data infrastructure for a healthcare AI platform. Responsibilities include REST API ingestion, Azure Event Hubs streaming into Databricks, Delta Lake medallion pipelines, entity resolution, semantic metrics, data-quality instrumentation, reconciliation, schema-drift handling, and troubleshooting source-to-warehouse discrepancies. The role requires strong Python and SQL skills, independent pipeline ownership, and experience with Databricks, Spark, PySpark, streaming, and healthcare-related data is a plus.

Own the Databricks enterprise data warehouse and BI solution, designing data models, ETL/ELT pipelines, stored procedures, semantic layers, and governed analytics. Lead healthcare data initiatives supporting value-based care metrics such as HCC, HEDIS, Stars, utilization, MLR, and capitation. Serve as BI product owner, manage roadmap and agile delivery, enforce data quality and HIPAA-aligned controls, and lead a small team while remaining hands-on.