Top Analytics Jobs in Tucson, AZ

The Manager of Data & Analytics will supervise a team, manage data infrastructure, develop data models, and ensure data governance. Responsibilities include partnering with stakeholders for strategic data reporting and supporting data-driven initiatives. They will also coach junior team members and ensure compliance with global data regulations.

In this role, you will manage Incorta's variable compensation plans by calculating payments, tracking quotas, distributing commission statements, and ensuring compliance with company policy. You will work closely with various teams to enhance processes and assist in transitioning to a commissions software tool, while also maintaining accurate and timely payments.

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 Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.

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.

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.

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.