Top Remote Data & Analytics Jobs in Tucson, AZ

The Analytics Manager for Credit Risk will lead credit strategy, enhance underwriting with machine learning, and manage cross-functional partnerships, focusing on data analytics and risk knowledge.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

The Financial Systems Analyst manages NetSuite, optimizes business system performance, supports users, ensures data integrity, and collaborates on process improvements.

The AJO Platform Developer will build and optimize journeys in Adobe Journey Optimizer, collaborating with stakeholders for data-driven marketing automation and ensuring compliance with security protocols.

The CDP Data Engineer will configure data flows and schemas in Adobe platforms, ensuring quality data ingestion and identity resolution for telecommunications clients.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Sr. Pricing and Monetization Analyst will develop pricing models, conduct market analysis, support deal monetization, and automate KPI dashboards to optimize pricing strategies and revenue.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Staff Data Analyst will support Operations by optimizing enterprise applications through data analysis, improving workflows, and providing actionable insights to leadership.

The Senior Analyst, Business Planning will define and build financial models to support executive decisions, resource allocation, and operational strategies. This role involves collaborating with various leaders and ensuring data accuracy and integrity.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.