Top Remote Data & Analytics Jobs in Wichita, KS

The Director will enhance client technology adoption of Circana's AI tools, integrate new tech solutions, and collaborate on automated analyses, driving client value and internal usage.

The role involves overseeing statistical programming and reporting for clinical research, focusing on oncology, creating reports and datasets, and ensuring compliance with CDISC standards.

Assist in financial analysis, pricing, and risk assessment for ACA Marketplace health insurance products, focusing on healthcare cost forecasting and data analysis.

The Clinical Data Scientist II performs advanced data analysis, collaborates on analytical solutions, develops dashboards, and communicates insights to stakeholders.

As a Principal Statistical Programmer, you'll generate datasets, oversee CRO deliverables, support clinical reports, and ensure compliance with FDA regulations.

The role involves leading global forecasting and performance management, setting standards, overseeing processes, collaborating with cross-functional teams, and developing a high-performing team in the oncology biotech sector.

Lead the creation of analytics strategies, manage data pipelines and reporting solutions, and mentor data professionals while ensuring data usability and quality across the organization.

Build and operate scalable data pipelines and analytics-ready datasets using Python, dbt, and BigQuery. Develop Looker dashboards, ensure data quality and observability, optimize performance and cost, integrate data workflows with backend services and CI/CD, and support analytics, experimentation, and production use cases.

The BI Director leads the development of analytics and reporting to drive insights for management, overseeing BI platforms and coordinating project teams. Responsibilities include recruiting staff, managing accounts, and implementing strategic plans.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.