Top Data & Analytics Jobs in Omaha, NE

Designs and manages enterprise Voice of the Customer programs, including surveys, customer research, feedback-data integration, journey mapping, and satisfaction measurement. Analyzes customer and operational data to identify trends, pain points, and improvement opportunities, then delivers actionable recommendations through reports, dashboards, and presentations. Partners cross-functionally, supports customer experience platforms and vendors, trains stakeholders, and promotes customer-centric practices.

Analyze IT business processes, gather and document requirements, interpret data, identify efficiency improvements, and recommend AI and automation opportunities. Assist with business cases, presentations, workflow documentation, and the design, testing, prototyping, and implementation of AI solutions using Microsoft Copilot Studio. Collaborate with business, technology, leadership, and project teams while gaining experience in process improvement, digital transformation, and emerging technologies.

The role involves extensive project phases, including requirement gathering, system configuration, data migration, and HCM Cloud expertise, particularly with BI Reports and HDL.

Designs, builds, optimizes, and tests Snowflake lakehouse architecture and ETL/ELT pipelines integrating Salesforce, marketing, and business data. Develops Bronze, Silver, and Gold data models, semantic layers, and datasets for Power BI, analytics, and AI initiatives. Implements data quality and governance procedures, maintains Git repositories, documents architecture, leads solution design, reviews code, mentors engineers, and communicates technical solutions to stakeholders.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Develop, maintain, and migrate reports using SQL Server Reporting Services (SSRS) and Crystal Reports. Manage report migrations and version control using Team Foundation Server (TFS). Collaborate with the team to support reporting requirements and ensure successful report deployments.

Senior analyst to design, develop, and administer databases and applications, build analytics and visualization products, support AI/ML data operations, lead Agile development activities, and operate in classified USSTRATCOM environments.

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.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).