Top Data & Analytics Jobs in Boise, ID

The Regulatory Reporting Analyst ensures accuracy in insurance regulatory reporting, assists internal/external parties, manages controls, and improves data systems.

The Sr. Competitive Intelligence Analyst supports cloud security product strategies through market analysis and competitive insights, partnering with various teams to enhance winning strategies.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

As a Senior Data Analyst, you will work with business partners to enhance data-driven decision-making on payments, develop dashboards, and analyze strategic opportunities while effectively communicating insights across teams.

As the Deal Desk Lead, you'll manage deal execution, optimize sales workflows, and collaborate across Finance, Sales, and Legal to enhance operational efficiency and scalability.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

As a Sr. Consumer Insights Analyst, you will analyze consumer research, provide actionable insights, track consumer behavior, and advocate for customer needs within the organization.

As a Staff Data Analyst, you'll lead credit analytics initiatives, mentor juniors, collaborate with cross-functional teams, and enhance Upstart's lending strategies using data-driven insights.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

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

The Senior Business Analyst will analyze enterprise workflows, define business requirements, and manage program delivery, ensuring alignment with strategy and governance.

As Lead Data Engineer, you will guide a team, manage the data platform, and oversee the development of ML infrastructure and feature stores.