Top Analytics Jobs in Nashville, TN

The FedRAMP Systems Analyst role involves managing the FedRAMP Authorization program, including preparing and reviewing compliance documentation, documenting security findings, managing technical risks, and facilitating relationships with stakeholders. The role requires collaboration with Product Management and Engineering teams to ensure adherence to FedRAMP standards and ongoing monitoring of security controls.

The RevOps Analyst will support the sales team by providing analytics and insights, managing sales reporting, assisting in sales funnel management, and evaluating marketing and sales productivity.

The GIS Analyst will provide technical expertise in GIS, create and maintain GIS database products, conduct analysis, support end-users, and ensure quality assurance of GIS applications. Responsibilities include developing documentation and conducting testing of GIS applications.

The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.

As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.

The Senior Data Quality Analyst will enhance data quality through automation and collaboration with data operations and reporting teams, applying statistical methods and tools to ensure accuracy, completeness, and reliability of data for government health programs, particularly for CMS. Responsibilities include analyzing data, developing quality policies, and presenting findings to stakeholders.

As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.