Top Remote Analysis Reporting Jobs in Tucson, AZ

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.

The Senior Data Analyst will analyze financial data, build SQL datasets, develop dashboards in Tableau or Power BI, and support Finance teams in decision-making processes.

As an Analytics Engineer, you'll own analytics solutions from data architecture to visualization, ensuring streamlined insights for business stakeholders.

The Data Engineer III will design, develop, and maintain data solutions while collaborating with teams, ensuring compliance with standards and leading projects.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Sales Analyst analyzes sales performance, develops reports and dashboards, supports forecasting and pipeline management, and collaborates cross-functionally to drive revenue growth.

The role involves analyzing regulatory requirements, gathering business needs, creating system specifications, and facilitating communication between stakeholders in the Property & Casualty insurance sector.

Serve as a client-facing analytics partner for a major US retailer, delivering data-driven analyses and actionable insights using syndicated and retail data. Lead project scoping, multi-source integration, storytelling, and presentations while partnering cross-functionally to drive client outcomes.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Data Migration Engineer will design and execute SQL-based ETL processes for migrating public safety data, ensuring high-quality data integration and collaboration with internal and external teams.