Top Remote Data & Analytics Jobs in Tucson, AZ

The role involves data-driven analysis, implementing machine learning and operations research methods, and collaborating with stakeholders to optimize defense systems.

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

The role involves delivering actionable business intelligence, ensuring data consistency, and collaborating with teams to drive revenue growth.

Build, optimize, and support cloud-based SQL Server and Azure database environments. Deploy scalable, compliant data platform solutions, troubleshoot performance, implement IaC, mentor engineers, and support analytics lakehouse and real-time clinical workflows while ensuring regulatory compliance.

The Associate Actuary analyzes financial data to support strategic decisions, maintains NPV models, and collaborates with stakeholders on data integrity and analysis.

Support cross-functional teams by driving data-driven decisions: design and analyze A/B tests, leverage ML models for insights, define growth levers, and automate operational processes to scale customer acquisition and partnerships.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Review and label Japanese-language text, images, or videos for AI projects; flag factual errors, sensitive or inappropriate content; follow guidelines and ask clarifying questions as needed.

Senior domain expert responsible for translating payment integrity domain knowledge (CR, COB, DM) into scalable rule logic, workflows, automation, and AI-enabled solutions. Partners with product, engineering, analytics, and operations to design, govern, and continuously improve rules, orchestration, and automation to reduce false positives and prevent improper payments.

Own revenue analytics and reporting infrastructure to drive go-to-market efficiency. Build and maintain dashboards, ensure data accuracy across the revenue tech stack, perform cohort analyses and forecasting, automate reporting, analyze distribution productivity, pipeline health, and onboarding efficiency, and collaborate with finance on revenue recognition and bookings reconciliation.