Top Senior Data & Analytics Jobs in Omaha, NE

The Senior Data Scientist will lead analytics efforts, develop data models, and improve data pipelines to support Thyme Care's mission in oncology care, while collaborating with stakeholders to enhance performance metrics and reporting.

The Salesforce Business Solution Architect I translates business needs into solutions within Salesforce, capturing requirements, designing processes, and mentoring project teams. Responsibilities include leading projects, defining data and processes, and ensuring use of technology aligns with business goals.

The Staff Risk Analytics role involves overseeing fraud risk management, developing strategies, leading cross-functional initiatives, and providing real-time analytics in fintech.

The Data Architect will design and implement a robust data warehouse and reporting platform on Azure, ensuring data quality and governance while modernizing the existing systems.

The Solutions Architect oversees project architecture and delivery, acts as a product liaison, and contributes to the professional services development for Trimble's Construction One platform.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

The Clinical Data Manager will manage research databases, oversee EHR to EDC automation, ensure data quality, and perform statistical analyses.

The Business Analyst will document user stories, collaborate with product owners, lead scrum sessions, perform system analysis, and support implementation efforts. They will provide training and update process documentation.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.