Top Senior Data & Analytics Jobs in Boise, ID

The Principal Decision Scientist will lead data-driven insights for strategic decisions, driving business impact through advanced analytics, AI, and mentoring within a data science team.

Manage client projects focused on data transformation and analytics, developing solutions using various tools, while maintaining strong communication with stakeholders.

Lead end-to-end credit risk analytics to inform underwriting, pricing, and product strategy. Build forecasting, unit-economics, and loss‑forecast models; design and analyze live tests; develop and implement credit policy; partner with cross-functional teams and external partners; apply AI-assisted analytics; and automate credit decisioning to balance growth with portfolio health.

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.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

Design, build, and maintain production data pipelines and tooling (CI/CD, testing, validation) using Snowflake, dbt, and orchestration tools. Model, transform, document, and optimize data to produce reliable curated datasets for analytics and solutions, enforce engineering best practices, and mentor teammates while ensuring scalability, observability, and data integrity.

The Lead Insurance Data Analyst will analyze data in healthcare, focusing on insurance billing processes, consolidate data from multiple sources, and provide actionable insights for department improvements.

The Senior Director leads a team to drive insights for CMAA using real-world data, develops client relationships, and spearheads proposals for business acquisition.

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.

Lead the design and architecture of production-grade data systems for reporting, focusing on data quality, performance, and engineering standards while mentoring team members.