Top Analysis Reporting Jobs in Boise, ID

As a Senior Manager, Analytics, you'll lead a team of analysts to shape experiments, define metrics, and analyze data across initiatives, contributing to data culture and AI-driven innovation.

The Director of Analytics & GTM Systems leads analytics and systems functions, driving data-informed decisions and overseeing teams. They enhance operational efficiency, implement AI solutions, and align strategies with stakeholders, creating impactful business capabilities and fostering decentralized decision-making.

The Data Engineer III will lead the development and maintenance of data infrastructure and tools, ensuring data integrity while driving strategic data initiatives.

The Senior Product Analyst will drive data analysis to improve game features, support product strategy, and provide insights through collaboration and presenting findings to stakeholders.

The Vice President of Account Services leads analytics strategy, provides data-driven insights to clients, oversees complex analyses, and develops KPI frameworks to improve nonprofit fundraising performance, while mentoring teams and collaborating across functions.

The Big Data Lead will manage database development, ETL/ELT processes, and data warehousing, optimizing performance and ensuring data pipelines work reliably.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

As a Data Masking Specialist, you will secure data by masking sensitive information, working closely with DBAs, Developers, and Analysts using various database technologies.

The Senior Oracle Business Analyst will enhance Oracle ERP systems by analyzing financial processes, recommending improvements, and ensuring compliance with accounting standards. Responsibilities include user support, data integrity monitoring, and collaborating with departments for seamless integration.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.