Top Analysis Reporting Jobs in Boise, ID

The Director of People Analytics and Reporting will lead data-driven HR initiatives, manage analytics teams, and develop reporting frameworks. Key responsibilities include improving data strategy, team management, stakeholder collaboration, and implementing modern analytics tools.

The Systems Analyst participates in development, maintenance, and delivery of products and applications, focusing on business and data analysis. Responsibilities include gathering requirements, creating specifications, writing SQL queries, and ensuring data integrity in a collaborative environment.

The Business Analyst supports the Product team by gathering requirements, analyzing business needs, recommending improvements, and leading projects.

The Head of Data & Analytics will build and lead data functions, transforming data into a competitive advantage and managing analytics for revenue and operational decision-making.

Lead data and analytics for Identity and Fraud: set data strategy, manage data engineering and science teams, develop and monitor AI/ML models, collaborate with product/tech/sales, drive customer-facing analytics solutions and revenue growth.

The Director of Risk Adjustment leads the enterprise risk adjustment programs, manages compliance, oversees analytics, and collaborates with clinical leaders to enhance documentation accuracy and optimize risk exposure.

The Business Intelligence Engineer will develop SQL queries and dashboards, ensure data quality, and collaborate on analytics projects to enhance patient experiences.

The Sales Insights & Reporting Manager will lead sales and promotional reporting, analyze promotional effectiveness, and automate processes using AI tools to drive insights across retail and e-commerce.

The Senior Product Analyst will analyze data on product performance, conduct A/B tests, and provide insights to influence product initiatives, all while collaborating with cross-functional teams.

The Manager of Sales Analytics will oversee sales reporting, pipeline health, and data integrity while collaborating with sales leaders to enhance performance and productivity. Responsibilities include managing a team, automating analyses, and ensuring data accuracy across various platforms.