Top Data & Analytics Jobs in Boise, ID

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

The Senior Director of Biostatistics at Gilead leads data analysis initiatives, directs cross-functional teams, and supports company priorities in statistical analysis and reporting. They ensure effective scientific communication and contribute to strategic departmental initiatives.

The Senior Data Analyst will analyze product performance and user growth, drive experimentation, and provide strategic insights to optimize business decisions.

As a Revenue Operations Analyst, you will drive analytics for GTM teams, build key dashboards, analyze funnel performance, and provide strategic data-driven recommendations.

As a Credit Risk Analyst, you'll analyze credit policies and performance, monitor decisioning rules, evaluate pricing strategies, and collaborate with various teams to enhance credit strategy and risk management.

The IT Compliance Manager oversees compliance activities, ensuring adherence to regulations like SOX and GDPR, conducting audits, and developing compliance policies.

The Senior Strategy & Planning Analyst will enhance planning models, analyze GTM productivity, and support strategic decision-making through data-driven insights and cross-functional collaboration.

Manage and optimize GTM tech stack, oversee Salesforce CRM, ensure data quality across systems, build data models, and create actionable insights for go-to-market strategy.

The Revenue Operations Engineer will enhance sales efficiency, implement system changes, manage technical issues, and automate business processes while ensuring data integrity.