Top Senior Data & Analytics Jobs in Boise, ID

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

The Senior Biostatistician will lead statistical strategy and analysis for clinical trials, provide mentorship, and communicate findings effectively.

The Data Engineer III is responsible for designing and implementing BI solutions, managing data governance activities, and collaborating on data quality initiatives while ensuring stakeholder satisfaction.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

The ITS Regulatory Application Analyst III manages regulatory projects, ensures regulatory compliance, collaborates with IT, and provides subject matter expertise on clinical quality workflows.

The Actuary analyzes financial and economic data for strategic decisions, ensures data integrity, collaborates with stakeholders, and evaluates market trends.

Manage a team of analysts to develop data-based solutions and tools in reporting and analytics to improve patient outcomes and drive business efficiency in healthcare.

The Director of Data Strategy and AI leads data and AI initiatives to enhance analytics programs, drives client strategy, and ensures effective AI product deployment. Responsibilities include managing cross-functional teams, supporting new business development, and overseeing technical infrastructure for analytics and internal tools while facilitating communication between technical and business stakeholders.

As a Senior Data Analyst, you'll define analytics strategies, implement data infrastructure, perform analyses, and leverage AI to enhance decision-making across the organization, focusing on personalized coaching outcomes.