Top Analysis Reporting Jobs in Ogden, UT

The Senior Data Analyst will build data models and visualizations, develop insights on healthcare navigation and doctor rankings, and collaborate with stakeholders to deliver data-driven stories and reports.

The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.

The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.

The Senior People Analyst will leverage data to provide insights into workforce dynamics, drive HR strategies, and develop analytics tools that facilitate organizational effectiveness. The role includes collaborating with HR to create dashboards and reports, ensuring data integrity, and using visualization tools to communicate insights.

The Senior Analyst, Pricing & Product role involves conducting competitive and market pricing analysis for commercial lines, establishing metrics for a new product line, and monitoring pricing competitiveness over time. This position requires data manipulation and the use of analytical tools to support product profitability and sales growth.

As a Commissions Analyst at CDW, you will ensure accurate commission payments to Sales colleagues by investigating inquiries related to commissions, adjustments, and invoices. Your responsibilities also include identifying process improvements and maintaining strong communication with various departments and leadership.

The Merchant Payment Processing Analyst will ensure efficient merchant payment processing by monitoring systems, analyzing payment data, resolving issues, and optimizing processing systems while collaborating with technical teams. In-depth analysis of network costs and payment fees is required, with the use of SQL and Python for data analysis and reporting.