Top Analysis Reporting Jobs in Lincoln, NE

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

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.

Manage and secure enterprise data systems, govern statewide Power BI and AI readiness, maintain ETL/data integration, ensure data quality and compliance, support cloud migration, provide reporting and user support, and collaborate across agencies to enable data-driven decision-making.

Lead discovery workshops, author testable user stories, document end-to-end workflows and data lineage, define/enforce data standards and stewardship, own data dictionary, validate data readiness before go-live, identify regulatory data obligations, participate in Data Governance Council, and serve as the business systems analyst for CRM platforms.

Serve as an analytics partner to business units to define problems, scope projects, perform in-depth analysis, and deliver actionable insights. Lead technical execution with data engineers/scientists, build dashboards in Looker, apply statistical methods and A/B testing, and drive data literacy and process improvements across the company.

Administer AWS-hosted PostgreSQL databases, managing monitoring, backups, restores, snapshots, security, maintenance, and performance tuning. Support database migrations, releases, troubleshooting, and data quality remediation. Build Python and SQL data pipelines, automation, CDC and streaming workflows using AWS services and Kafka technologies. Enable near-real-time data movement to reporting platforms, data lakes, Snowflake, and Databricks while collaborating with application, DevOps, QA, analytics, and business teams.

Designs, implements, maintains, and evaluates environmental databases for CMS Unified Case Management. Builds and maintains ETL pipelines using AWS, Snowflake, and PostgreSQL; implements automated data validation; automates reporting pipelines; creates dashboards, tables, plots, maps, and documentation. Performs data analysis, develops recommendations, follows project specifications, and presents findings to stakeholders while applying Agile practices.

Develops cloud-based business intelligence and reporting solutions using AWS, Spark, Power BI, and SAP BusinessObjects. Builds data pipelines and workflows integrating multiple sources, retrieves data from S3 and PostgreSQL, and supports enterprise analytics. Responsibilities include ETL, data warehousing, performance tuning, big data processing, AWS IAM, BI optimization, data visualization, and stakeholder presentations. The role also requires strong problem-solving, communication, Agile experience, and collaboration supporting CMS systems.

Designs and develops complex cloud-native data solutions, scalable batch and real-time pipelines, APIs, data models, and enterprise data platforms. Implements data governance, quality, lineage, security, observability, CI/CD, automated testing, and operational reporting capabilities. Collaborates with architects, product owners, analysts, governance, security, and platform teams on technology strategy and cloud modernization. Mentors engineers, leads technical design discussions, presents recommendations, and supports AI-ready data products and emerging development tools.

Analyzes logistics performance metrics, develops dashboards and reports, identifies trends and bottlenecks, and provides actionable insights to improve delivery performance and operational efficiency across the supply chain.

Designs, develops, and maintains scalable distributed data pipelines and ETL workflows. Ensures data quality, integrity, security, privacy, and availability; optimizes data processing performance; monitors production systems; diagnoses root causes; documents architectures and procedures; and provides rotational on-call support for critical data systems.

Leads advanced analytics, business intelligence, reporting automation, dashboards, forecasting, data governance, and performance insights. Partners with executives, clients, data engineering teams, and stakeholders to translate complex data into strategic recommendations, improve business performance, and support decision-making. Oversees analytical projects, reporting standardization, data quality, technology improvements, and analyst mentoring.

Analyzes complex data, develops and maintains reports and dashboards, defines product metrics and KPIs, documents reporting processes, and translates findings into actionable insights for technical and non-technical stakeholders. Partners with cross-functional teams, recommends reporting improvements, ensures data supports business needs, and may coach other analysts.