Top Data & Analytics Jobs in Boise, ID

The role involves developing models for product flow and capacity forecasting, utilizing mathematical techniques, data analysis, and programming languages, while collaborating with engineers and business users.

The Data Migration Specialist optimizes system performance for client data onboarding by utilizing Excel, SQL, VBA, and Python. They resolve data issues, apply accounting concepts, and implement solutions for continuous service improvement, while collaborating with development teams.

The IT Manager of Data & Analytics is responsible for leading data governance, implementing DevOps practices, and overseeing emerging technologies adoption while managing a team to enhance data capabilities and ensure compliance and operational efficiency.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

The Director of Analytics leads Upstart's Credit Analytics team, driving credit forecasting, valuation, and risk capital. Responsibilities include setting vision, developing leaders, and enhancing analytical frameworks in collaboration with tech and finance teams.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

The Principal GTM Analyst translates complex business questions into actionable insights, collaborating with Marketing and GTM teams to drive growth and marketing efficiency through advanced analytics and storytelling.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.