Top Senior Analysis Reporting Jobs in Boise, ID

This role involves leading workforce analytics initiatives, delivering insights on headcount, compensation, and workforce planning, while utilizing AI tools and visual analytics platforms to support decision-making processes across various HR functions.

The Lead Business Intelligence Engineer implements best practices for data analysis, develops technical solutions, ensures compliance, and leads team mentoring within the healthcare industry.

The Data QA Engineer designs and executes test plans for data pipelines and transformations, collaborates with teams to ensure data quality, and utilizes AI techniques for testing automation. They validate business metrics and facilitate cross-team communication.

As Manager of Business Intelligence, you'll lead a team to shape performance metrics, develop analytical tools, engage with stakeholders, and drive BI practices across the Operations organization.

The position involves leading database operations and managing data integration for business intelligence, focusing on PostgreSQL and ETL/ELT pipelines.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

As a Senior Data Scientist, analyze healthcare data to improve health outcomes, develop reports and dashboards, and collaborate across teams to leverage genomic data for health insights.

The Senior Director of Data Management leads data management strategy for clinical programs, overseeing CRO partnerships, data lifecycle management, and compliance with regulatory standards. They mentor staff and ensure high-quality clinical data for submissions.

The Senior Biostatistician II will oversee clinical trials, manage statistical deliverables, lead client interactions, and mentor junior staff.

The Senior Data Engineer will design and maintain scalable data pipelines, lead medium-sized platform projects, and ensure reliability of data systems through monitoring and optimization. Responsibilities include working with cross-functional teams to improve data workflows and participate in incident response.