Top Analysis Reporting Jobs in Lincoln, NE

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

The Senior Product Analyst will analyze user interactions and metrics to optimize renter experiences through data-driven insights, collaborating with cross-functional teams to inform product strategies and facilitate features supporting partner journeys.

The intern will analyze customer engagement data from multiple sources to derive insights, support customer retention strategies, and present findings to leadership.

The IO Psychology intern will support data driven people initiatives in talent and organizational effectiveness, focusing on analytics and employee insights in a corporate environment.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

The Data Engineer I at Storable supports the design and maintenance of data pipelines, works with ETL processes, optimizes workflows, and collaborates with various teams to enhance data accessibility and reliability.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

Design and maintain data pipelines for analytics and operational decision-making. Collaborate with teams to ensure reliable data systems and governance, utilizing Python and SQL.

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling efforts.