Top Remote Data & Analytics Jobs in Tucson, AZ

Lead enterprise data and analytics strategy and Information Delivery (BI, Data Engineering, Integration, Analytics, Governance). Own end-to-end data lifecycle, operationalize governance and quality, partner with business and AI/ML teams, ensure data security/privacy compliance, and build high-performing data organizations to drive business outcomes.

The Revenue Analytics Manager will analyze customer success and partner analytics, delivering insights to drive retention and revenue growth, working cross functionally with leadership and data teams.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

The Lead Healthcare Analyst will analyze healthcare data to drive program effectiveness, support strategy, and improve patient outcomes, collaborating with various stakeholders.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.